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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'gene_b', 'gene_a'}) and 2 missing columns ({'reporter', 'target_gene'}).
This happened while the csv dataset builder was generating data using
hf://datasets/valsv/scrna-coregulation-benchmark/pbmc_correlation_summary.csv (at revision 96a3883b8d5910f18cb058b966dcddd88f16ceb1), ['hf://datasets/valsv/scrna-coregulation-benchmark@96a3883b8d5910f18cb058b966dcddd88f16ceb1/correlation_summary.csv', 'hf://datasets/valsv/scrna-coregulation-benchmark@96a3883b8d5910f18cb058b966dcddd88f16ceb1/pbmc_correlation_summary.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
sample: string
gene_a: string
gene_b: string
method: string
target_r: double
median_bg: double
mean_bg: double
sd_bg: double
q05_bg: double
q25_bg: double
q75_bg: double
q95_bg: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1623
to
{'sample': Value('string'), 'reporter': Value('string'), 'target_gene': Value('string'), 'method': Value('string'), 'target_r': Value('float64'), 'median_bg': Value('float64'), 'mean_bg': Value('float64'), 'sd_bg': Value('float64'), 'q05_bg': Value('float64'), 'q25_bg': Value('float64'), 'q75_bg': Value('float64'), 'q95_bg': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'gene_b', 'gene_a'}) and 2 missing columns ({'reporter', 'target_gene'}).
This happened while the csv dataset builder was generating data using
hf://datasets/valsv/scrna-coregulation-benchmark/pbmc_correlation_summary.csv (at revision 96a3883b8d5910f18cb058b966dcddd88f16ceb1), ['hf://datasets/valsv/scrna-coregulation-benchmark@96a3883b8d5910f18cb058b966dcddd88f16ceb1/correlation_summary.csv', 'hf://datasets/valsv/scrna-coregulation-benchmark@96a3883b8d5910f18cb058b966dcddd88f16ceb1/pbmc_correlation_summary.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
sample string | reporter string | target_gene string | method string | target_r float64 | median_bg float64 | mean_bg float64 | sd_bg float64 | q05_bg float64 | q25_bg float64 | q75_bg float64 | q95_bg float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|
GSE295703_WER | WER_reporter | WER | Raw counts | 0.906013 | 0.204152 | 0.205531 | 0.152664 | -0.010713 | 0.067965 | 0.328226 | 0.454403 |
GSE295703_WER | WER_reporter | WER | log10(CP10K + 1) | 0.497966 | 0.018058 | 0.026373 | 0.054591 | -0.04864 | -0.006068 | 0.046685 | 0.123679 |
GSE295703_WER | WER_reporter | WER | scVI (learned library, softmax) | 0.954102 | 0.317912 | 0.284161 | 0.286572 | -0.2447 | 0.075714 | 0.521174 | 0.673367 |
GSE295703_WER | WER_reporter | WER | scVI (observed library, softplus) | 0.888361 | 0.909844 | 0.831846 | 0.214302 | 0.452843 | 0.754873 | 0.967198 | 0.992606 |
GSE295703_WER | WER_reporter | WER | scVI (observed library, softmax) | 0.937434 | -0.003581 | 0.012773 | 0.304933 | -0.462642 | -0.240115 | 0.27747 | 0.492972 |
GSE295703_CORTEX | CORTEX_reporter | CORTEX | Raw counts | 0.147487 | 0.052902 | 0.090491 | 0.108438 | -0.010977 | -0.001775 | 0.15186 | 0.309397 |
GSE295703_CORTEX | CORTEX_reporter | CORTEX | log10(CP10K + 1) | 0.038908 | -0.004045 | 0.004262 | 0.030004 | -0.032081 | -0.011578 | 0.014176 | 0.063886 |
GSE295703_CORTEX | CORTEX_reporter | CORTEX | scVI (learned library, softmax) | 0.519389 | 0.154185 | 0.16944 | 0.204135 | -0.151895 | 0.027312 | 0.312673 | 0.51733 |
GSE295703_CORTEX | CORTEX_reporter | CORTEX | scVI (observed library, softplus) | 0.881894 | 0.847688 | 0.762551 | 0.192973 | 0.37381 | 0.634409 | 0.901547 | 0.969091 |
GSE295703_CORTEX | CORTEX_reporter | CORTEX | scVI (observed library, softmax) | 0.387484 | -0.04918 | -0.042058 | 0.262429 | -0.442963 | -0.252171 | 0.152848 | 0.418889 |
GSE295703_SCR | SCR_reporter | SCR | Raw counts | 0.300671 | 0.068602 | 0.081581 | 0.07167 | -0.003296 | 0.019793 | 0.123271 | 0.216755 |
GSE295703_SCR | SCR_reporter | SCR | log10(CP10K + 1) | 0.147385 | -0.002136 | 0.002765 | 0.018177 | -0.018954 | -0.006532 | 0.009316 | 0.034871 |
GSE295703_SCR | SCR_reporter | SCR | scVI (learned library, softmax) | 0.843014 | 0.297581 | 0.262569 | 0.230627 | -0.185373 | 0.128018 | 0.427065 | 0.569893 |
GSE295703_SCR | SCR_reporter | SCR | scVI (observed library, softplus) | 0.988359 | 0.898853 | 0.834388 | 0.192985 | 0.462607 | 0.771406 | 0.970482 | 0.997384 |
GSE295703_SCR | SCR_reporter | SCR | scVI (observed library, softmax) | 0.790162 | -0.004002 | -0.000557 | 0.333363 | -0.518466 | -0.274722 | 0.266317 | 0.511935 |
GSE160772 | eGFP | Pdgfrb | Raw counts | 0.628845 | 0.042894 | 0.065566 | 0.086617 | -0.025403 | 0.005794 | 0.103978 | 0.238032 |
GSE160772 | eGFP | Pdgfrb | log10(CP10K + 1) | 0.426273 | 0.005055 | 0.00778 | 0.056574 | -0.063739 | -0.019065 | 0.029741 | 0.09601 |
GSE160772 | eGFP | Pdgfrb | scVI (learned library, softmax) | 0.846825 | 0.119708 | 0.10157 | 0.448278 | -0.649155 | -0.242747 | 0.484091 | 0.748802 |
GSE160772 | eGFP | Pdgfrb | scVI (observed library, softplus) | 0.874201 | 0.271313 | 0.269778 | 0.329484 | -0.358729 | 0.067824 | 0.48847 | 0.824921 |
GSE160772 | eGFP | Pdgfrb | scVI (observed library, softmax) | 0.813478 | 0.152991 | 0.087738 | 0.421725 | -0.666635 | -0.220541 | 0.441897 | 0.674394 |
GSE198556_control_epithelial | eGFP | Pdgfrb | Raw counts | 0.821563 | -0.00045 | 0.013446 | 0.035352 | -0.002408 | -0.000993 | 0.015806 | 0.059206 |
GSE198556_control_epithelial | eGFP | Pdgfrb | log10(CP10K + 1) | 0.154403 | -0.000463 | 0.00045 | 0.008242 | -0.002073 | -0.000946 | -0.000229 | 0.00371 |
GSE198556_control_epithelial | eGFP | Pdgfrb | scVI (learned library, softmax) | 0.825658 | 0.351364 | 0.34541 | 0.26964 | -0.126911 | 0.185198 | 0.541272 | 0.749341 |
GSE198556_control_epithelial | eGFP | Pdgfrb | scVI (observed library, softplus) | 0.143705 | 0.391747 | 0.360929 | 0.184925 | -0.013276 | 0.270611 | 0.485123 | 0.634393 |
GSE198556_control_epithelial | eGFP | Pdgfrb | scVI (observed library, softmax) | 0.719247 | -0.230109 | -0.212631 | 0.284233 | -0.634477 | -0.433416 | -0.013819 | 0.303965 |
GSE198556_24hrs_mesenchyme | eGFP | Pdgfrb | Raw counts | 0.592048 | 0.149956 | 0.170873 | 0.11745 | 0.013671 | 0.082548 | 0.240961 | 0.385976 |
GSE198556_24hrs_mesenchyme | eGFP | Pdgfrb | log10(CP10K + 1) | 0.430215 | 0.076608 | 0.091074 | 0.073511 | -0.004129 | 0.036174 | 0.135407 | 0.235341 |
GSE198556_24hrs_mesenchyme | eGFP | Pdgfrb | scVI (learned library, softmax) | 0.450729 | 0.014469 | 0.041364 | 0.356517 | -0.51883 | -0.219249 | 0.315914 | 0.628123 |
GSE198556_24hrs_mesenchyme | eGFP | Pdgfrb | scVI (observed library, softplus) | 0.969512 | 0.977379 | 0.907572 | 0.271794 | 0.538789 | 0.956878 | 0.992141 | 0.998157 |
GSE198556_24hrs_mesenchyme | eGFP | Pdgfrb | scVI (observed library, softmax) | 0.812261 | 0.575028 | 0.497758 | 0.310316 | -0.146158 | 0.325554 | 0.732273 | 0.855714 |
GSE198556_48hrs_mesenchyme | eGFP | Pdgfrb | Raw counts | 0.735405 | 0.056837 | 0.094765 | 0.097953 | 0.000864 | 0.018574 | 0.147325 | 0.296652 |
GSE198556_48hrs_mesenchyme | eGFP | Pdgfrb | log10(CP10K + 1) | 0.384376 | 0.036414 | 0.063733 | 0.072064 | -0.007748 | 0.012863 | 0.097113 | 0.218887 |
GSE198556_48hrs_mesenchyme | eGFP | Pdgfrb | scVI (learned library, softmax) | 0.564194 | -0.070653 | -0.022849 | 0.439546 | -0.629269 | -0.419033 | 0.3466 | 0.725077 |
GSE198556_48hrs_mesenchyme | eGFP | Pdgfrb | scVI (observed library, softplus) | 0.577415 | 0.675999 | 0.613395 | 0.256592 | 0.062975 | 0.5339 | 0.774667 | 0.917167 |
GSE198556_48hrs_mesenchyme | eGFP | Pdgfrb | scVI (observed library, softmax) | 0.526263 | 0.067501 | 0.103466 | 0.420586 | -0.548989 | -0.235108 | 0.461867 | 0.766492 |
GSE198556_48hrs_epithelial | eGFP | Pdgfrb | Raw counts | 0.671357 | -0.00048 | 0.013833 | 0.034966 | -0.002959 | -0.00132 | 0.018341 | 0.055683 |
GSE198556_48hrs_epithelial | eGFP | Pdgfrb | log10(CP10K + 1) | 0.342071 | -0.000962 | 0.002736 | 0.01114 | -0.004831 | -0.00199 | 0.004081 | 0.017864 |
GSE198556_48hrs_epithelial | eGFP | Pdgfrb | scVI (learned library, softmax) | 0.936995 | 0.165951 | 0.181499 | 0.250997 | -0.219118 | 0.006083 | 0.336763 | 0.660771 |
GSE198556_48hrs_epithelial | eGFP | Pdgfrb | scVI (observed library, softplus) | 0.975019 | 0.929259 | 0.837431 | 0.28124 | 0.140252 | 0.86893 | 0.962766 | 0.9826 |
GSE198556_48hrs_epithelial | eGFP | Pdgfrb | scVI (observed library, softmax) | 0.86654 | -0.228037 | -0.164536 | 0.303233 | -0.544951 | -0.383037 | -0.009142 | 0.476547 |
GSE181864 | eGFP | Rorc | Raw counts | 0.091277 | 0.018886 | 0.024337 | 0.026445 | -0.007581 | 0.004148 | 0.039422 | 0.077352 |
GSE181864 | eGFP | Rorc | log10(CP10K + 1) | 0.085279 | 0.006276 | 0.008802 | 0.016192 | -0.009448 | -0.00382 | 0.017234 | 0.037901 |
GSE181864 | eGFP | Rorc | scVI (learned library, softmax) | 0.160556 | 0.364671 | 0.313281 | 0.317471 | -0.281232 | 0.111923 | 0.566279 | 0.744222 |
GSE181864 | eGFP | Rorc | scVI (observed library, softplus) | 0.343905 | 0.651504 | 0.660393 | 0.196134 | 0.369393 | 0.498024 | 0.808819 | 0.97944 |
GSE181864 | eGFP | Rorc | scVI (observed library, softmax) | -0.324501 | 0.008311 | -0.008643 | 0.389278 | -0.651206 | -0.310626 | 0.290957 | 0.61559 |
GSE229976_unstimulated | eGFP | Il23r | Raw counts | 0.144694 | 0.018255 | 0.026724 | 0.030843 | -0.006803 | 0.004564 | 0.042565 | 0.090443 |
GSE229976_unstimulated | eGFP | Il23r | log10(CP10K + 1) | 0.079448 | 0.007563 | 0.009675 | 0.014657 | -0.007159 | -0.002038 | 0.017442 | 0.03937 |
GSE229976_unstimulated | eGFP | Il23r | scVI (learned library, softmax) | 0.674011 | 0.277111 | 0.268693 | 0.243725 | -0.158286 | 0.093611 | 0.444761 | 0.665335 |
GSE229976_unstimulated | eGFP | Il23r | scVI (observed library, softplus) | 0.949529 | 0.935803 | 0.892789 | 0.151302 | 0.689534 | 0.85967 | 0.971995 | 0.989949 |
GSE229976_unstimulated | eGFP | Il23r | scVI (observed library, softmax) | 0.779614 | 0.273214 | 0.241664 | 0.330898 | -0.328928 | 0.024302 | 0.495888 | 0.724791 |
GSE229976_stimulated | eGFP | Il23r | Raw counts | 0.198237 | 0.028068 | 0.040551 | 0.04339 | -0.004593 | 0.01057 | 0.058869 | 0.137604 |
GSE229976_stimulated | eGFP | Il23r | log10(CP10K + 1) | 0.082393 | 0.009207 | 0.012749 | 0.016299 | -0.007048 | 0.000673 | 0.02259 | 0.044713 |
GSE229976_stimulated | eGFP | Il23r | scVI (learned library, softmax) | 0.793155 | 0.310498 | 0.279892 | 0.295684 | -0.259812 | 0.077649 | 0.509335 | 0.692056 |
GSE229976_stimulated | eGFP | Il23r | scVI (observed library, softplus) | 0.506327 | 0.634509 | 0.664973 | 0.171109 | 0.494244 | 0.542187 | 0.794983 | 0.951651 |
GSE229976_stimulated | eGFP | Il23r | scVI (observed library, softmax) | 0.809546 | 0.347714 | 0.269506 | 0.378412 | -0.549333 | 0.055173 | 0.550251 | 0.766307 |
GSE296504 | DsRed | Cspg4 | Raw counts | 0.526263 | 0.015848 | 0.031454 | 0.055846 | -0.020406 | -0.005102 | 0.050232 | 0.142475 |
GSE296504 | DsRed | Cspg4 | log10(CP10K + 1) | 0.509067 | 0.016677 | 0.03575 | 0.074558 | -0.046012 | -0.011894 | 0.07066 | 0.167724 |
GSE296504 | eGFP | Cx3cr1 | Raw counts | 0.43241 | 0.028843 | 0.051417 | 0.074182 | -0.031559 | -0.002347 | 0.086762 | 0.200396 |
GSE296504 | eGFP | Cx3cr1 | log10(CP10K + 1) | 0.428535 | 0.014071 | 0.028823 | 0.070565 | -0.050476 | -0.012788 | 0.050323 | 0.167837 |
GSE296504 | DsRed | Cspg4 | scVI (learned library, softmax) | 0.925938 | 0.137595 | 0.144565 | 0.389334 | -0.513362 | -0.11453 | 0.434712 | 0.773735 |
GSE296504 | DsRed | Cspg4 | scVI (observed library, softplus) | 0.971267 | 0.883697 | 0.884113 | 0.028242 | 0.844844 | 0.877774 | 0.889709 | 0.930221 |
GSE296504 | DsRed | Cspg4 | scVI (observed library, softmax) | 0.874838 | -0.094831 | -0.03574 | 0.378052 | -0.600455 | -0.318471 | 0.206882 | 0.699115 |
GSE296504 | eGFP | Cx3cr1 | scVI (learned library, softmax) | 0.928164 | 0.066432 | 0.063554 | 0.378069 | -0.549606 | -0.241965 | 0.347375 | 0.667729 |
GSE296504 | eGFP | Cx3cr1 | scVI (observed library, softplus) | 0.998452 | 0.984015 | 0.980817 | 0.018991 | 0.966789 | 0.979377 | 0.98679 | 0.995097 |
GSE296504 | eGFP | Cx3cr1 | scVI (observed library, softmax) | 0.912133 | -0.048924 | -0.034804 | 0.388439 | -0.645606 | -0.326821 | 0.211055 | 0.631146 |
GSE316394_BACHD_1 | eGFP | Dlx1 | Raw counts | 0.105752 | 0.01686 | 0.026727 | 0.0303 | -0.006827 | 0.004926 | 0.041711 | 0.090092 |
GSE316394_BACHD_1 | eGFP | Dlx1 | log10(CP10K + 1) | 0.035387 | 0.002477 | 0.004294 | 0.011325 | -0.010869 | -0.004062 | 0.011799 | 0.025114 |
GSE316394_BACHD_1 | eGFP | Dlx1 | scVI (learned library, softmax) | 0.37562 | 0.149054 | 0.110254 | 0.44007 | -0.653317 | -0.247152 | 0.487957 | 0.7338 |
GSE316394_BACHD_1 | eGFP | Dlx1 | scVI (observed library, softplus) | 0.890805 | 0.87186 | 0.778764 | 0.224883 | 0.306616 | 0.725736 | 0.923477 | 0.960994 |
GSE316394_BACHD_1 | eGFP | Dlx1 | scVI (observed library, softmax) | 0.52306 | 0.26487 | 0.276854 | 0.338848 | -0.286982 | 0.016891 | 0.552052 | 0.817042 |
GSE316394_BACHD_2 | eGFP | Dlx1 | Raw counts | 0.087605 | 0.01833 | 0.025722 | 0.027752 | -0.005833 | 0.006117 | 0.039492 | 0.080796 |
GSE316394_BACHD_2 | eGFP | Dlx1 | log10(CP10K + 1) | 0.032936 | 0.003348 | 0.004194 | 0.010431 | -0.010681 | -0.003547 | 0.010665 | 0.023342 |
GSE316394_BACHD_2 | eGFP | Dlx1 | scVI (learned library, softmax) | 0.340294 | 0.18051 | 0.123552 | 0.41858 | -0.630591 | -0.192132 | 0.475645 | 0.690573 |
GSE316394_BACHD_2 | eGFP | Dlx1 | scVI (observed library, softplus) | 0.296506 | 0.627069 | 0.594249 | 0.180761 | 0.231219 | 0.523612 | 0.712117 | 0.801122 |
GSE316394_BACHD_2 | eGFP | Dlx1 | scVI (observed library, softmax) | 0.392271 | 0.335708 | 0.31486 | 0.339981 | -0.273434 | 0.056901 | 0.602396 | 0.795088 |
GSE316394_WT_1 | eGFP | Dlx1 | Raw counts | 0.145801 | 0.010969 | 0.018096 | 0.026586 | -0.012236 | -0.001826 | 0.031164 | 0.072888 |
GSE316394_WT_1 | eGFP | Dlx1 | log10(CP10K + 1) | 0.112423 | 0.003182 | 0.00828 | 0.022052 | -0.016884 | -0.006952 | 0.017487 | 0.054787 |
GSE316394_WT_1 | eGFP | Dlx1 | scVI (learned library, softmax) | 0.880653 | 0.268711 | 0.186752 | 0.433382 | -0.560551 | -0.169804 | 0.5815 | 0.761961 |
GSE316394_WT_1 | eGFP | Dlx1 | scVI (observed library, softplus) | 0.736562 | 0.769449 | 0.586704 | 0.387742 | -0.262367 | 0.346971 | 0.885513 | 0.932854 |
GSE316394_WT_1 | eGFP | Dlx1 | scVI (observed library, softmax) | 0.89276 | 0.087558 | 0.054244 | 0.404577 | -0.630814 | -0.272201 | 0.403076 | 0.644429 |
GSE316394_WT_2 | eGFP | Dlx1 | Raw counts | 0.102154 | 0.007359 | 0.009358 | 0.016227 | -0.010542 | -0.001836 | 0.016935 | 0.04149 |
GSE316394_WT_2 | eGFP | Dlx1 | log10(CP10K + 1) | 0.102509 | 0.000602 | 0.002946 | 0.013935 | -0.013563 | -0.006146 | 0.009387 | 0.027102 |
GSE316394_WT_2 | eGFP | Dlx1 | scVI (learned library, softmax) | 0.913489 | 0.066247 | 0.045337 | 0.322557 | -0.503994 | -0.188741 | 0.284516 | 0.5682 |
GSE316394_WT_2 | eGFP | Dlx1 | scVI (observed library, softplus) | 0.155994 | 0.748529 | 0.669204 | 0.288163 | 0.127197 | 0.444284 | 0.921489 | 0.988763 |
GSE316394_WT_2 | eGFP | Dlx1 | scVI (observed library, softmax) | 0.907503 | 0.138595 | 0.085995 | 0.3416 | -0.538576 | -0.14549 | 0.333319 | 0.59695 |
GSE319345_Ms802_Sham | eGFP | Sox9 | Raw counts | 0.324278 | 0.039977 | 0.045847 | 0.057751 | -0.041826 | 0.010546 | 0.075901 | 0.150385 |
GSE319345_Ms802_Sham | eGFP | Sox9 | log10(CP10K + 1) | 0.162962 | 0.005305 | 0.00022 | 0.044856 | -0.084124 | -0.016287 | 0.024067 | 0.054474 |
GSE319345_Ms802_Sham | eGFP | Sox9 | scVI (learned library, softmax) | 0.81946 | 0.189142 | 0.151299 | 0.393247 | -0.569296 | -0.123538 | 0.446044 | 0.759431 |
GSE319345_Ms802_Sham | eGFP | Sox9 | scVI (observed library, softplus) | 0.981605 | 0.947936 | 0.917098 | 0.135383 | 0.794162 | 0.904051 | 0.971638 | 0.989719 |
GSE319345_Ms802_Sham | eGFP | Sox9 | scVI (observed library, softmax) | 0.73358 | 0.110347 | 0.101704 | 0.317551 | -0.434466 | -0.124196 | 0.308907 | 0.660952 |
GSE319345_Ms877_Sham | eGFP | Sox9 | Raw counts | 0.358395 | 0.047573 | 0.05085 | 0.056349 | -0.027473 | 0.015339 | 0.07967 | 0.144009 |
GSE319345_Ms877_Sham | eGFP | Sox9 | log10(CP10K + 1) | 0.217037 | 0.008355 | 0.004262 | 0.040439 | -0.062331 | -0.010957 | 0.024815 | 0.054865 |
GSE319345_Ms877_Sham | eGFP | Sox9 | scVI (learned library, softmax) | 0.794286 | 0.096052 | 0.087932 | 0.422094 | -0.589728 | -0.225689 | 0.405835 | 0.772533 |
GSE319345_Ms877_Sham | eGFP | Sox9 | scVI (observed library, softplus) | 0.945709 | 0.819536 | 0.767823 | 0.173663 | 0.396999 | 0.734681 | 0.879981 | 0.938738 |
GSE319345_Ms877_Sham | eGFP | Sox9 | scVI (observed library, softmax) | 0.773019 | 0.003936 | 0.010097 | 0.405277 | -0.656639 | -0.288516 | 0.265219 | 0.728445 |
GSE319345_Ms805_BDL | eGFP | Sox9 | Raw counts | 0.373447 | 0.04096 | 0.04732 | 0.053641 | -0.026975 | 0.012547 | 0.07544 | 0.138709 |
GSE319345_Ms805_BDL | eGFP | Sox9 | log10(CP10K + 1) | 0.223231 | 0.011683 | 0.010272 | 0.039233 | -0.053164 | -0.008028 | 0.02871 | 0.064382 |
GSE319345_Ms805_BDL | eGFP | Sox9 | scVI (learned library, softmax) | 0.736392 | 0.226669 | 0.188937 | 0.334489 | -0.444661 | -0.013871 | 0.453344 | 0.649384 |
GSE319345_Ms805_BDL | eGFP | Sox9 | scVI (observed library, softplus) | 0.975153 | 0.966155 | 0.882349 | 0.197812 | 0.427929 | 0.884537 | 0.987193 | 0.995887 |
GSE319345_Ms805_BDL | eGFP | Sox9 | scVI (observed library, softmax) | 0.818043 | 0.268343 | 0.206641 | 0.318446 | -0.435291 | -0.004363 | 0.441693 | 0.636576 |
End of preview.