rahul77/PubTable_updated · Datasets at Hugging Face

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	<table border="1" class="dataframe"> <tr> <th> Characteristic </th> <th> Cases (n = 1125) </th> <th> Controls (n = 1197) </th> <th> P-valuea </th> </tr> <tr> <td> Demographic factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Age (years [mean ± SD]) ...
	<table border="1" class="dataframe"> <tr> <th> Stratified variable (by median) </th> <th colspan="6"> MnSOD genotypes </th> </tr> <tr> <th> </th> <th colspan="2"> Val/Val </th> <th colspan="2"> Val/Ala </th> <th colspan="2"> Ala/Ala </th> </tr> <tr> <th> </th> <th> n...
	<table border="1" class="dataframe"> <tr> <th> Protein </th> <th> Percentage </th> </tr> <tr> <td> PCNA </td> <td> 15.93 ± 4.38 </td> </tr> <tr> <td> hMLH1 </td> <td> 0.25 ± 1.11 </td> </tr> <tr> <td rowspan="2"> hPMS1 in </td> <td> 0.6 ± 0.99 </td> </tr> ...
	<table border="1" class="dataframe"> <tr> <th> Group </th> <th> RNA source </th> <th> Treatment </th> <th> Days after injection </th> <th> No. of animals </th> </tr> <tr> <td> AN </td> <td> Naive control (absolute negative) BALB/cSCID paw </td> <td> None </td> ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Mean fluorescence of CXCR3a </th> <th> </th> </tr> <tr> <th> Patient no. </th> <th> In PB cells </th> <th> In SF cells </th> <th> D/sb </th> </tr> <tr> <td> 1 </td> <td> 35.79 </td> <td>...
	<table border="1" class="dataframe"> <tr> <th> Course </th> <th> No. of patients </th> <th> Age (years) </th> <th> Disease duration (years) </th> <th> No. of joints with active/ limited range of motion </th> <th> PGI </th> <th> ESR (mm/h) </th> <th> Treatment; n ...
	<table border="1" class="dataframe"> <tr> <th> Patient no. </th> <th> Age (year) </th> <th> Form </th> <th> Pattern </th> <th> CD3 </th> <th colspan="3"> CCR7 </th> <th colspan="3"> CXCR3 </th> <th colspan="3"> CCR5 </th> </tr> <tr> <th> </th> <th> </th...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th> </th> <th colspan="2"> 100 × CD4+CD25+/CD4+ (N) </th> </tr> <tr> <th> Treatment </th> <th> Expt no. </th> <th> Organ </th> <th> IFN-γR KO </th> <th> WT </th> </tr> <tr> <td rowspan="6"> N...
	<table border="1" class="dataframe"> <tr> <th rowspan="2"> SAGE library </th> <th rowspan="2"> Total testis TT 1+2 </th> <th rowspan="2"> Adult testis somatic cells ATSC </th> </tr> <tr> </tr> <tr> <td> Total tags </td> <td> 76 854 </td> <td> 81 478 </td> </tr> <tr> <t...
	<table border="1" class="dataframe"> <tr> <th> Predicted </th> <th> Observed </th> <th> N of observations </th> </tr> <tr> <td> 0.001 </td> <td> 0.001 </td> <td> 1116 </td> </tr> <tr> <td> 0.010 </td> <td> 0.007 </td> <td> 2621 </td> </tr> <tr> <td...
	<table border="1" class="dataframe"> <tr> <th> Level of Evidence </th> <th> Preventive Manoeuvre </th> </tr> <tr> <td rowspan="8"> AΩ & B¥-categories: (Appropriate) </td> <td> 1. Folic acid for primary prevention of neural tube defects </td> </tr> <tr> <td> 2. Smoking cessation...
	<table border="1" class="dataframe"> <tr> <th> Measure </th> <th> Intervention Group (N = 22) </th> <th> Control Group (N = 23) </th> <th> Significance (P value) </th> </tr> <tr> <td> Percentage of Group Practices </td> <td> 77.3% </td> <td> 60.9% </td> <td> .34 ...
	<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> A & B Manœuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Folic Acid </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in ...
	<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> D Manoeuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Blood Glucose Screening </td> <td> </td> <td> </td> </tr> <tr> <td> Differen...
	<table border="1" class="dataframe"> <tr> <th> Condition </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Breast Cancer </td> <td> $12,075.20 </td> <td> $4,026.97 </td> <td> $20,123.44 </td> </tr> <tr> <td> Influenza </td> <td...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Costs </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Intervention Cost </td> <td> $238,388 </td> <td> $238,388 </td> <td...
	<table border="1" class="dataframe"> <tr> <th> Purpose </th> <th> Family Medicine [%] </th> <th> Specialist [%] </th> <th> χ2 </th> <th> df </th> <th> p-value </th> </tr> <tr> <td> Personal use </td> <td> 83.0 </td> <td> 86.4 </td> <td> 3.87 </td>...
	<table border="1" class="dataframe"> <tr> <th colspan="2"> Percentiles </th> <th colspan="2"> Boys </th> <th colspan="2"> Girls </th> </tr> <tr> <th> </th> <th> </th> <th> Q-max </th> <th> Q-Ave </th> <th> Q-max </th> <th> Q-Ave </th> </tr> <tr> <td rowspa...
	<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="6"> Scale statistics </th> </tr> <tr> <th> </th> <th> Mean (SD) Total UK Sample </th> <th> Mean (SD) Total US Sample </th> <th> Percentage floor chronic health condition/healthy (UK Sample) </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="4"> Self-report </th> <th colspan="4"> Proxy-report </th> </tr> <tr> <th> </th> <th> N </th> <th> Mean (sd) </th> <th> df </th> <th> F </th> <th> N </th> <th> Mean (sd) </th> <...
	<table border="1" class="dataframe"> <tr> <th> Scale: </th> <th> Total Sample </th> <th> Healthy children </th> <th> Children with chronic health condition </th> </tr> <tr> <td> Total score </td> <td> 0.56* </td> <td> 0.32* </td> <td> 0.67* </td> </tr> <tr> ...
	<table border="1" class="dataframe"> <tr> <th> Base Model </th> <th> Spatial Distribution Function of Alternative Model </th> <th> Base Model Observed Dataset </th> <th> More Explicit Model Observed Dataset </th> </tr> <tr> <td> Null </td> <td> Distance Decline </td> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Author </th> <th> Year </th> <th> No of cases </th> <th> Results </th> </tr> <tr> <td> Zahner et al [15] </td> <td> 1994 </td> <td> 1 </td> <td> Positive </td> </tr> <tr> <td> Cadigan et al [7] </td> <td...
	<table border="1" class="dataframe"> <tr> <th> Time (h) </th> <th> Type </th> <th colspan="5"> Duration </th> <th> Time (h) </th> <th colspan="5"> Duration </th> </tr> <tr> <th> </th> <th> </th> <th colspan="2"> Oscillation type </th> <th colspan="2"> Fetal move...
	<table border="1" class="dataframe"> <tr> <th> Sitea </th> <th> Enzymeb </th> <th> Gene Card </th> <th> UniGenec </th> <th> SAGEc </th> <th> Full Name </th> </tr> <tr> <td rowspan="4"> 163 </td> <td> EGFR Kinase </td> <td> EGFR </td> <td> Yes </td...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> Nature (12/00) </th> <th> Release 1 (8/01) </th> <th> Release 2 (1/02) </th> <th> Release 3 (8/02) </th> <th> Release 4 (4/03) </th> <th> Release 5 (1/04) </th> </tr> <tr> <td> Genome size (Mb) </td> <td>...
	<table border="1" class="dataframe"> <tr> <th> Transposable element classification </th> <th> # Annotated genomic regions </th> </tr> <tr> <td> Class I (Retrotransposons) </td> <td> 1652 </td> </tr> <tr> <td> gypsy-like retrotransposon family (Athila) </td> <td> 511 </td> ...
	<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Overall composition </th> <th> All Genes (3462) </th> <th> Proteins (>100 residues) </th> <th> Membrane Proteins </th> <th> Non-Membrane Proteins </th> </tr> <tr> <td> A </td> <td> 5.49 </t...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> FP </th> <th> FN </th> <th> TP </th> <th> TN </th> <th> S(M) </th> </tr> <tr> <td> GEM </td> <td> 4 </td> <td> 6 </td> <td> 115 </td> <td> 2340 </td> <td> 226 </td> </...
	<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Ala </th> <th colspan="2"> Gly </th> <th colspan="2"> Arg </th> <th colspan="2"> Val </th> </tr> <tr> <th> </th> <th> Genes * </th> <th> E. Level ** </th> <th> Genes <...
	<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Asp </th> <th colspan="2"> Leu </th> <th colspan="2"> Asn </th> <th colspan="2"> Ser </th> </tr> <tr> <th> </th> <th> Genes* </th> <th> E. Level** </th> <th> Genes </t...
	<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th colspan="2"> Alternate Dataset 1 (Untreated) </th> <th colspan="2"> Alternate Dataset 2 (Treated) </th> </tr> <tr> <th> </th> <th> All Genes </th> <th> > 100 residues </th> <th> All Genes </th> <th>...
	<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Correlation with log(Fold change) </th> </tr> <tr> <td> A </td> <td> -0.184 </td> </tr> <tr> <td> C </td> <td> 0.055 </td> </tr> <tr> <td> D </td> <td> 0.029 </td> </tr> <tr> <td> E...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Total Samples </th> <th colspan="2"> Scanty Growth </th> <th colspan="2"> Semi-confluent growth </th> <th colspan="2"> Confluent growth </th> <th> P-value2 </th> </tr> <tr> <th> Nugent's score1 </th> ...
	<table border="1" class="dataframe"> <tr> <th> Genital micro-organisms </th> <th colspan="7"> Prevalence of genital micro-organism in those with: </th> </tr> <tr> <th> </th> <th colspan="2"> No lactobacilli </th> <th colspan="2"> Non H2O2 producing lactobacilli </th> <th colspan="2"...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="3"> Prevalence of BV (Nugent's score 7–10) </th> <th colspan="3"> Prevalence of HIV </th> </tr> <tr> <th> </th> <th> n/N </th> <th> % </th> <th> P-value4 </th> <th> n/N </th> <th> % </th> <th>...
	<table border="1" class="dataframe"> <tr> <th> Season </th> <th> Onset </th> <th> Peak </th> <th> Offset </th> <th> Duration </th> </tr> <tr> <td> 1995/1996 late season </td> <td> 1 </td> <td> 12 </td> <td> 17 </td> <td> 17 </td> </tr> <tr> <t...
	<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> No. of Species </th> <th> TP </th> <th> TN </th> <th> FP </th> <th> FN </th> <th> Specificity </th> <th> Sensitivity </th> <th> Accuracy </th> <th> Balanced Accuracy </th> </tr> <tr> ...
	<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> Species </th> <th> TP </th> <th> FP </th> <th> FN </th> <th> Score </th> </tr> <tr> <td> atp1 </td> <td> Secale cereale </td> <td> 0 </td> <td> 5 </td> <td> 1 (0) </td> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Mantoux </th> <th> Children </th> <th colspan="3"> Evaluation of scar formation [n (%)] </th> </tr> <tr> <th> Induration (mm) </th> <th> n </th> <th> Real scar (>2 mm) </th> <th> (≤ Tiny scar 2 mm) </th> <th> No s...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.28% </td> <td> 78.36% </td> <td> 79.71% </td> <td> 80.12% </td> </tr> <tr> <td...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> ref4 </th> <th> ref5 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.76% </td> <td> 91.28% </td> <td> 75.34% </t...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 20.00%+ </td> <td> 23.33%0 </td> <td> 23.33%+ </td> <td> 22.22%+ </td> </tr> <tr>...
	<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 11.67%+ </td> <td> 21.67%0 </td> <td> 23.33%+ </td> <td> 18.89%+ </td> </tr> <tr>...
	<table border="1" class="dataframe"> <tr> <th> Pfam </th> <th> Type </th> <th> SCOP </th> </tr> <tr> <td> DHH </td> <td> Family </td> <td> c.107.1.1; c.107.1.2 </td> </tr> <tr> <td> OsmC </td> <td> Family </td> <td> d.227.1.2; d.227.1.1 </td> </tr> <...
	<table border="1" class="dataframe"><tr><td>Signs and symptoms of HF</td><td>Effort dyspnoea, Hortopnoea, III-IV tones, Pulmonary rales</td></tr><tr><td>Normal or mildly reduced LV systolic function</td><td>≥ EF 45 % e LVIDDi > 3.2 cm·m -2</td></tr><tr><td>Evidence of abnormalities LV of relaxation/filling and/or di...
	<table border="1" class="dataframe"> <tr> <th> Event </th> <th colspan="2"> Happened to Me </th> <th colspan="2"> Happened to Someone I Know Well </th> </tr> <tr> <th> </th> <th> Number </th> <th> % </th> <th> Number </th> <th> % </th> </tr> <tr> <td> Badly...
	<table border="1" class="dataframe"> <tr> <th colspan="2"> Rate of PTSD symptoms on the K-SADS </th> <th colspan="2"> Rate of PTSD symptoms on the CATS </th> </tr> <tr> <th> symptom </th> <th> % </th> <th> symptom </th> <th> % </th> </tr> <tr> <td> </td> <td colspan=...
	<table border="1" class="dataframe"> <tr> <th> PTSD Symptom </th> <th> </th> <th> </th> <th> </th> <th colspan="2"> 95% Confidence Interval </th> </tr> <tr> <th> </th> <th> </th> <th> Observed Kappa </th> <th> Standard Error </th> <th> Lower Limit </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th rowspan="3"> Interested (n = 225) % </th> <th rowspan="3"> Non-interested (n = 553) % </th> <th rowspan="3"> OR (95% CI)1) </th> </tr> <tr> <th> </th> </tr> <tr> <th> </th> </tr> <tr> <td> Physician visit in past year ...
	<table border="1" class="dataframe"> <tr> <th> Complication </th> <th> Patients (n) </th> </tr> <tr> <td> Pin site infection grade 2 [13] </td> <td> 5 </td> </tr> <tr> <td> Loose pin at removal of fixator/pins </td> <td> 6 </td> </tr> <tr> <td> Septic arthritis </...
	<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Univeriate analysis </th> <th colspan="3"> Multivariate analysisII </th> </tr> <tr> <th> Predictor Variable </th> <th> Na </th> <th> Cb </th> <th> (95% CI) </th> <th> pc </th> <th> R2 adjd ...
	<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> </td> ...
	<table border="1" class="dataframe"> <tr> <th> Outcome/Treatment N (%) </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> ...
	<table border="1" class="dataframe"> <tr> <th> Season correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> Stockholm 1800–187...
	<table border="1" class="dataframe"> <tr> <th> Month of preceding year correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> S...
	<table border="1" class="dataframe"> <tr> <th> Tortoise no. </th> <th colspan="20"> Nucleotide position </th> <th> Origin </th> <th> 12S haplotype </th> </tr> <tr> <th> </th> <th> </th> <th> </th> <th> </th> <th> </th> <th> 1 </th> <th> 1 </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> A. </th> <th colspan="12"> HPV cLIA time (weeks) </th> </tr> <tr> <th> HPV type </th> <th> 0 </th> <th> 2 </th> <th> 4 </th> <th> 8 </th> <th> 10 </th> <th> 12 </th> <th> 16 </th> <th> 20 </th>...
	<table border="1" class="dataframe"> <tr> <th> Index </th> <th> N </th> <th colspan="2"> Groups </th> <th> P < : </th> </tr> <tr> <th> </th> <th> </th> <th> Control (+/+) </th> <th> Diabetes (db/db) </th> <th> </th> </tr> <tr> <td> Body Weight (g) </t...
	<table border="1" class="dataframe"> <tr> <th> Source of E. coli </th> <th> Lambda </th> <th> M13 </th> <th> P1 </th> <th> øX174 </th> <th> T4 </th> <th> T7 </th> <th> none </th> </tr> <tr> <td> Mouse feces and GI tracts (n = 22) </td> <td> 0 (0%) ...
	<table border="1" class="dataframe"> <tr> <th> Study Group </th> <th> No. </th> <th> 11 </th> <th> 12 </th> <th> 22 </th> <th colspan="3"> 12 + 22 </th> </tr> <tr> <th> </th> <th> </th> <th> n (%) </th> <th> n (%) </th> <th> n (%) </th> <th> ...
	<table border="1" class="dataframe"> <tr> <th> Functional type </th> <th> Fluffy tails (F>2) </th> <th> No fluffy tails (F<2) </th> <th> Positive rate </th> <th> Negative rate </th> </tr> <tr> <td> Regulatory regions </td> <td> 51 </td> <td> 9 </td> <td...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> Arabidopsis thaliana </th> <th> Haemophilus influenzae </th> <th> Helicobacter pylori 26695 </th> <th> Helicobacter pylori J99 </th> <th> Homo sapien </th> <th> Saccharomyces cerevisiae </th> </tr> <tr> <td> ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> 14,349 Unique NCBI One Term Windows </th> <th> 18,934 Unique NCBI Two Term Windows </th> <th> 24,747 Unique NCBI Three Term Windows </th> </tr> <tr> <td> GO Term Equality </td> <td> 16,001 </td> <td> 9096 </td> ...
	<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Stage I </th> <th> Stage II </th> <th> Stage III </th> <th> Stage IV </th> <th> P value </th> </tr> <tr> <td> Age at Cohort Entrance </td> <td> 14.3 ± 2.3 </td> <td> 15.4 ± 2.9 </t...
	<table border="1" class="dataframe"> <tr> <th> Level of clinical suspicion </th> <th> Ultrasound </th> <th> No Ultrasound </th> <th> Risk ratio for harm (95% CI) </th> <th> Risk ratio for benefit (95% CI) </th> <th> Odds ratio (95% CI) </th> <th> Risk difference (95% CI) ...
	<table border="1" class="dataframe"> <tr> <th> </th> <th> PSZ threshold </th> <th> # phylogenetic motifs </th> <th> # sequences </th> </tr> <tr> <td> # phylogenetic motifs </td> <td> 0.15 </td> <td> </td> <td> </td> </tr> <tr> <td> # sequences </td> <td> 0...

<table border="1" class="dataframe"> <tr> <th> Characteristic </th> <th> Cases (n = 1125) </th> <th> Controls (n = 1197) </th> <th> P-valuea </th> </tr> <tr> <td> Demographic factors </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Age (years [mean ± SD]) ...

<table border="1" class="dataframe"> <tr> <th> Stratified variable (by median) </th> <th colspan="6"> MnSOD genotypes </th> </tr> <tr> <th> </th> <th colspan="2"> Val/Val </th> <th colspan="2"> Val/Ala </th> <th colspan="2"> Ala/Ala </th> </tr> <tr> <th> </th> <th> n...

<table border="1" class="dataframe"> <tr> <th> Protein </th> <th> Percentage </th> </tr> <tr> <td> PCNA </td> <td> 15.93 ± 4.38 </td> </tr> <tr> <td> hMLH1 </td> <td> 0.25 ± 1.11 </td> </tr> <tr> <td rowspan="2"> hPMS1 in </td> <td> 0.6 ± 0.99 </td> </tr> ...

<table border="1" class="dataframe"> <tr> <th> Group </th> <th> RNA source </th> <th> Treatment </th> <th> Days after injection </th> <th> No. of animals </th> </tr> <tr> <td> AN </td> <td> Naive control (absolute negative) BALB/cSCID paw </td> <td> None </td> ...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Mean fluorescence of CXCR3a </th> <th> </th> </tr> <tr> <th> Patient no. </th> <th> In PB cells </th> <th> In SF cells </th> <th> D/sb </th> </tr> <tr> <td> 1 </td> <td> 35.79 </td> <td>...

<table border="1" class="dataframe"> <tr> <th> Course </th> <th> No. of patients </th> <th> Age (years) </th> <th> Disease duration (years) </th> <th> No. of joints with active/ limited range of motion </th> <th> PGI </th> <th> ESR (mm/h) </th> <th> Treatment; n ...

<table border="1" class="dataframe"> <tr> <th> Patient no. </th> <th> Age (year) </th> <th> Form </th> <th> Pattern </th> <th> CD3 </th> <th colspan="3"> CCR7 </th> <th colspan="3"> CXCR3 </th> <th colspan="3"> CCR5 </th> </tr> <tr> <th> </th> <th> </th...

<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th> </th> <th colspan="2"> 100 × CD4+CD25+/CD4+ (N) </th> </tr> <tr> <th> Treatment </th> <th> Expt no. </th> <th> Organ </th> <th> IFN-γR KO </th> <th> WT </th> </tr> <tr> <td rowspan="6"> N...

<table border="1" class="dataframe"> <tr> <th rowspan="2"> SAGE library </th> <th rowspan="2"> Total testis TT 1+2 </th> <th rowspan="2"> Adult testis somatic cells ATSC </th> </tr> <tr> </tr> <tr> <td> Total tags </td> <td> 76 854 </td> <td> 81 478 </td> </tr> <tr> <t...

<table border="1" class="dataframe"> <tr> <th> Predicted </th> <th> Observed </th> <th> N of observations </th> </tr> <tr> <td> 0.001 </td> <td> 0.001 </td> <td> 1116 </td> </tr> <tr> <td> 0.010 </td> <td> 0.007 </td> <td> 2621 </td> </tr> <tr> <td...

<table border="1" class="dataframe"> <tr> <th> Level of Evidence </th> <th> Preventive Manoeuvre </th> </tr> <tr> <td rowspan="8"> AΩ & B¥-categories: (Appropriate) </td> <td> 1. Folic acid for primary prevention of neural tube defects </td> </tr> <tr> <td> 2. Smoking cessation...

<table border="1" class="dataframe"> <tr> <th> Measure </th> <th> Intervention Group (N = 22) </th> <th> Control Group (N = 23) </th> <th> Significance (P value) </th> </tr> <tr> <td> Percentage of Group Practices </td> <td> 77.3% </td> <td> 60.9% </td> <td> .34 ...

<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> A & B Manœuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Folic Acid </td> <td> </td> <td> </td> </tr> <tr> <td> Difference in ...

<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> Value and Rangea </th> <th> Source </th> </tr> <tr> <td> D Manoeuvres </td> <td> </td> <td> </td> </tr> <tr> <td> Blood Glucose Screening </td> <td> </td> <td> </td> </tr> <tr> <td> Differen...

<table border="1" class="dataframe"> <tr> <th> Condition </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Breast Cancer </td> <td> $12,075.20 </td> <td> $4,026.97 </td> <td> $20,123.44 </td> </tr> <tr> <td> Influenza </td> <td...

<table border="1" class="dataframe"> <tr> <th> </th> <th> Baseline </th> <th> Low </th> <th> High </th> </tr> <tr> <td> Costs </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Intervention Cost </td> <td> $238,388 </td> <td> $238,388 </td> <td...

<table border="1" class="dataframe"> <tr> <th> Purpose </th> <th> Family Medicine [%] </th> <th> Specialist [%] </th> <th> χ2 </th> <th> df </th> <th> p-value </th> </tr> <tr> <td> Personal use </td> <td> 83.0 </td> <td> 86.4 </td> <td> 3.87 </td>...

<table border="1" class="dataframe"> <tr> <th colspan="2"> Percentiles </th> <th colspan="2"> Boys </th> <th colspan="2"> Girls </th> </tr> <tr> <th> </th> <th> </th> <th> Q-max </th> <th> Q-Ave </th> <th> Q-max </th> <th> Q-Ave </th> </tr> <tr> <td rowspa...

<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="6"> Scale statistics </th> </tr> <tr> <th> </th> <th> Mean (SD) Total UK Sample </th> <th> Mean (SD) Total US Sample </th> <th> Percentage floor chronic health condition/healthy (UK Sample) </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> Scale </th> <th colspan="4"> Self-report </th> <th colspan="4"> Proxy-report </th> </tr> <tr> <th> </th> <th> N </th> <th> Mean (sd) </th> <th> df </th> <th> F </th> <th> N </th> <th> Mean (sd) </th> <...

<table border="1" class="dataframe"> <tr> <th> Scale: </th> <th> Total Sample </th> <th> Healthy children </th> <th> Children with chronic health condition </th> </tr> <tr> <td> Total score </td> <td> 0.56* </td> <td> 0.32* </td> <td> 0.67* </td> </tr> <tr> ...

<table border="1" class="dataframe"> <tr> <th> Base Model </th> <th> Spatial Distribution Function of Alternative Model </th> <th> Base Model Observed Dataset </th> <th> More Explicit Model Observed Dataset </th> </tr> <tr> <td> Null </td> <td> Distance Decline </td> <td> ...

<table border="1" class="dataframe"> <tr> <th> Author </th> <th> Year </th> <th> No of cases </th> <th> Results </th> </tr> <tr> <td> Zahner et al [15] </td> <td> 1994 </td> <td> 1 </td> <td> Positive </td> </tr> <tr> <td> Cadigan et al [7] </td> <td...

<table border="1" class="dataframe"> <tr> <th> Time (h) </th> <th> Type </th> <th colspan="5"> Duration </th> <th> Time (h) </th> <th colspan="5"> Duration </th> </tr> <tr> <th> </th> <th> </th> <th colspan="2"> Oscillation type </th> <th colspan="2"> Fetal move...

<table border="1" class="dataframe"> <tr> <th> Sitea </th> <th> Enzymeb </th> <th> Gene Card </th> <th> UniGenec </th> <th> SAGEc </th> <th> Full Name </th> </tr> <tr> <td rowspan="4"> 163 </td> <td> EGFR Kinase </td> <td> EGFR </td> <td> Yes </td...

<table border="1" class="dataframe"> <tr> <th> </th> <th> Nature (12/00) </th> <th> Release 1 (8/01) </th> <th> Release 2 (1/02) </th> <th> Release 3 (8/02) </th> <th> Release 4 (4/03) </th> <th> Release 5 (1/04) </th> </tr> <tr> <td> Genome size (Mb) </td> <td>...

<table border="1" class="dataframe"> <tr> <th> Transposable element classification </th> <th> # Annotated genomic regions </th> </tr> <tr> <td> Class I (Retrotransposons) </td> <td> 1652 </td> </tr> <tr> <td> gypsy-like retrotransposon family (Athila) </td> <td> 511 </td> ...

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Overall composition </th> <th> All Genes (3462) </th> <th> Proteins (>100 residues) </th> <th> Membrane Proteins </th> <th> Non-Membrane Proteins </th> </tr> <tr> <td> A </td> <td> 5.49 </t...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> FP </th> <th> FN </th> <th> TP </th> <th> TN </th> <th> S(M) </th> </tr> <tr> <td> GEM </td> <td> 4 </td> <td> 6 </td> <td> 115 </td> <td> 2340 </td> <td> 226 </td> </...

<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Ala </th> <th colspan="2"> Gly </th> <th colspan="2"> Arg </th> <th colspan="2"> Val </th> </tr> <tr> <th> </th> <th> Genes * </th> <th> E. Level ** </th> <th> Genes <...

<table border="1" class="dataframe"> <tr> <th> Percent Composition </th> <th colspan="2"> Asp </th> <th colspan="2"> Leu </th> <th colspan="2"> Asn </th> <th colspan="2"> Ser </th> </tr> <tr> <th> </th> <th> Genes* </th> <th> E. Level** </th> <th> Genes </t...

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th colspan="2"> Alternate Dataset 1 (Untreated) </th> <th colspan="2"> Alternate Dataset 2 (Treated) </th> </tr> <tr> <th> </th> <th> All Genes </th> <th> > 100 residues </th> <th> All Genes </th> <th>...

<table border="1" class="dataframe"> <tr> <th> Amino Acid </th> <th> Correlation with log(Fold change) </th> </tr> <tr> <td> A </td> <td> -0.184 </td> </tr> <tr> <td> C </td> <td> 0.055 </td> </tr> <tr> <td> D </td> <td> 0.029 </td> </tr> <tr> <td> E...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Total Samples </th> <th colspan="2"> Scanty Growth </th> <th colspan="2"> Semi-confluent growth </th> <th colspan="2"> Confluent growth </th> <th> P-value2 </th> </tr> <tr> <th> Nugent's score1 </th> ...

<table border="1" class="dataframe"> <tr> <th> Genital micro-organisms </th> <th colspan="7"> Prevalence of genital micro-organism in those with: </th> </tr> <tr> <th> </th> <th colspan="2"> No lactobacilli </th> <th colspan="2"> Non H2O2 producing lactobacilli </th> <th colspan="2"...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="3"> Prevalence of BV (Nugent's score 7–10) </th> <th colspan="3"> Prevalence of HIV </th> </tr> <tr> <th> </th> <th> n/N </th> <th> % </th> <th> P-value4 </th> <th> n/N </th> <th> % </th> <th>...

<table border="1" class="dataframe"> <tr> <th> Season </th> <th> Onset </th> <th> Peak </th> <th> Offset </th> <th> Duration </th> </tr> <tr> <td> 1995/1996 late season </td> <td> 1 </td> <td> 12 </td> <td> 17 </td> <td> 17 </td> </tr> <tr> <t...

<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> No. of Species </th> <th> TP </th> <th> TN </th> <th> FP </th> <th> FN </th> <th> Specificity </th> <th> Sensitivity </th> <th> Accuracy </th> <th> Balanced Accuracy </th> </tr> <tr> ...

<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> Species </th> <th> TP </th> <th> FP </th> <th> FN </th> <th> Score </th> </tr> <tr> <td> atp1 </td> <td> Secale cereale </td> <td> 0 </td> <td> 5 </td> <td> 1 (0) </td> <td> ...

<table border="1" class="dataframe"> <tr> <th> Mantoux </th> <th> Children </th> <th colspan="3"> Evaluation of scar formation [n (%)] </th> </tr> <tr> <th> Induration (mm) </th> <th> n </th> <th> Real scar (>2 mm) </th> <th> (≤ Tiny scar 2 mm) </th> <th> No s...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.28% </td> <td> 78.36% </td> <td> 79.71% </td> <td> 80.12% </td> </tr> <tr> <td...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> ref4 </th> <th> ref5 </th> <th> Total </th> </tr> <tr> <td> DIALIGN-T </td> <td> 82.76% </td> <td> 91.28% </td> <td> 75.34% </t...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 20.00%+ </td> <td> 23.33%0 </td> <td> 23.33%+ </td> <td> 22.22%+ </td> </tr> <tr>...

<table border="1" class="dataframe"> <tr> <th> Method </th> <th> ref1 </th> <th> ref2 </th> <th> ref3 </th> <th> Total </th> </tr> <tr> <td> DIALIGN 2.2 </td> <td> 11.67%+ </td> <td> 21.67%0 </td> <td> 23.33%+ </td> <td> 18.89%+ </td> </tr> <tr>...

<table border="1" class="dataframe"> <tr> <th> Pfam </th> <th> Type </th> <th> SCOP </th> </tr> <tr> <td> DHH </td> <td> Family </td> <td> c.107.1.1; c.107.1.2 </td> </tr> <tr> <td> OsmC </td> <td> Family </td> <td> d.227.1.2; d.227.1.1 </td> </tr> <...

<table border="1" class="dataframe"><tr><td>Signs and symptoms of HF</td><td>Effort dyspnoea, Hortopnoea, III-IV tones, Pulmonary rales</td></tr><tr><td>Normal or mildly reduced LV systolic function</td><td>≥ EF 45 % e LVIDDi > 3.2 cm·m -2</td></tr><tr><td>Evidence of abnormalities LV of relaxation/filling and/or di...

<table border="1" class="dataframe"> <tr> <th> Event </th> <th colspan="2"> Happened to Me </th> <th colspan="2"> Happened to Someone I Know Well </th> </tr> <tr> <th> </th> <th> Number </th> <th> % </th> <th> Number </th> <th> % </th> </tr> <tr> <td> Badly...

<table border="1" class="dataframe"> <tr> <th colspan="2"> Rate of PTSD symptoms on the K-SADS </th> <th colspan="2"> Rate of PTSD symptoms on the CATS </th> </tr> <tr> <th> symptom </th> <th> % </th> <th> symptom </th> <th> % </th> </tr> <tr> <td> </td> <td colspan=...

<table border="1" class="dataframe"> <tr> <th> PTSD Symptom </th> <th> </th> <th> </th> <th> </th> <th colspan="2"> 95% Confidence Interval </th> </tr> <tr> <th> </th> <th> </th> <th> Observed Kappa </th> <th> Standard Error </th> <th> Lower Limit </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> </th> <th rowspan="3"> Interested (n = 225) % </th> <th rowspan="3"> Non-interested (n = 553) % </th> <th rowspan="3"> OR (95% CI)1) </th> </tr> <tr> <th> </th> </tr> <tr> <th> </th> </tr> <tr> <td> Physician visit in past year ...

<table border="1" class="dataframe"> <tr> <th> Complication </th> <th> Patients (n) </th> </tr> <tr> <td> Pin site infection grade 2 [13] </td> <td> 5 </td> </tr> <tr> <td> Loose pin at removal of fixator/pins </td> <td> 6 </td> </tr> <tr> <td> Septic arthritis </...

<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Univeriate analysis </th> <th colspan="3"> Multivariate analysisII </th> </tr> <tr> <th> Predictor Variable </th> <th> Na </th> <th> Cb </th> <th> (95% CI) </th> <th> pc </th> <th> R2 adjd ...

<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> </td> ...

<table border="1" class="dataframe"> <tr> <th> Outcome/Treatment N (%) </th> <th colspan="5"> Income Quintile </th> <th> P-value </th> </tr> <tr> <th> </th> <th> 1 </th> <th> 2 </th> <th> 3 </th> <th> 4 </th> <th> 5 </th> <th> </th> </tr> <tr> <td> ...

<table border="1" class="dataframe"> <tr> <th> Season correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> Stockholm 1800–187...

<table border="1" class="dataframe"> <tr> <th> Month of preceding year correlated with malaria cases in 1800–1870 </th> <th colspan="4"> Source of temperature series </th> </tr> <tr> <th> </th> <th> Helsinki 1830–1870 41 years </th> <th> Tornedalen 1818–1870 53 years </th> <th> S...

<table border="1" class="dataframe"> <tr> <th> Tortoise no. </th> <th colspan="20"> Nucleotide position </th> <th> Origin </th> <th> 12S haplotype </th> </tr> <tr> <th> </th> <th> </th> <th> </th> <th> </th> <th> </th> <th> 1 </th> <th> 1 </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> A. </th> <th colspan="12"> HPV cLIA time (weeks) </th> </tr> <tr> <th> HPV type </th> <th> 0 </th> <th> 2 </th> <th> 4 </th> <th> 8 </th> <th> 10 </th> <th> 12 </th> <th> 16 </th> <th> 20 </th>...

<table border="1" class="dataframe"> <tr> <th> Index </th> <th> N </th> <th colspan="2"> Groups </th> <th> P < : </th> </tr> <tr> <th> </th> <th> </th> <th> Control (+/+) </th> <th> Diabetes (db/db) </th> <th> </th> </tr> <tr> <td> Body Weight (g) </t...

<table border="1" class="dataframe"> <tr> <th> Source of E. coli </th> <th> Lambda </th> <th> M13 </th> <th> P1 </th> <th> øX174 </th> <th> T4 </th> <th> T7 </th> <th> none </th> </tr> <tr> <td> Mouse feces and GI tracts (n = 22) </td> <td> 0 (0%) ...

<table border="1" class="dataframe"> <tr> <th> Study Group </th> <th> No. </th> <th> 11 </th> <th> 12 </th> <th> 22 </th> <th colspan="3"> 12 + 22 </th> </tr> <tr> <th> </th> <th> </th> <th> n (%) </th> <th> n (%) </th> <th> n (%) </th> <th> ...

<table border="1" class="dataframe"> <tr> <th> Functional type </th> <th> Fluffy tails (F>2) </th> <th> No fluffy tails (F<2) </th> <th> Positive rate </th> <th> Negative rate </th> </tr> <tr> <td> Regulatory regions </td> <td> 51 </td> <td> 9 </td> <td...

<table border="1" class="dataframe"> <tr> <th> </th> <th> Arabidopsis thaliana </th> <th> Haemophilus influenzae </th> <th> Helicobacter pylori 26695 </th> <th> Helicobacter pylori J99 </th> <th> Homo sapien </th> <th> Saccharomyces cerevisiae </th> </tr> <tr> <td> ...

<table border="1" class="dataframe"> <tr> <th> </th> <th> 14,349 Unique NCBI One Term Windows </th> <th> 18,934 Unique NCBI Two Term Windows </th> <th> 24,747 Unique NCBI Three Term Windows </th> </tr> <tr> <td> GO Term Equality </td> <td> 16,001 </td> <td> 9096 </td> ...

<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Stage I </th> <th> Stage II </th> <th> Stage III </th> <th> Stage IV </th> <th> P value </th> </tr> <tr> <td> Age at Cohort Entrance </td> <td> 14.3 ± 2.3 </td> <td> 15.4 ± 2.9 </t...

<table border="1" class="dataframe"> <tr> <th> Level of clinical suspicion </th> <th> Ultrasound </th> <th> No Ultrasound </th> <th> Risk ratio for harm (95% CI) </th> <th> Risk ratio for benefit (95% CI) </th> <th> Odds ratio (95% CI) </th> <th> Risk difference (95% CI) ...

<table border="1" class="dataframe"> <tr> <th> </th> <th> PSZ threshold </th> <th> # phylogenetic motifs </th> <th> # sequences </th> </tr> <tr> <td> # phylogenetic motifs </td> <td> 0.15 </td> <td> </td> <td> </td> </tr> <tr> <td> # sequences </td> <td> 0...