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Update README.md

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@@ -156,6 +156,51 @@ configs:
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  - name: padj
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  dtype: float64
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  description: Adjusted p-value for multiple testing for the gene
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Rossi 2021
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  - name: padj
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  dtype: float64
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  description: Adjusted p-value for multiple testing for the gene
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+ - config_name: binding_peaks
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+ description: Transcription factor binding peaks identified through Calling Cards analysis with enrichment statistics
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+ dataset_type: annotated_features
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+ default: true
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+ data_files:
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+ - split: train
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+ path: calling_cards_results.parquet
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+ dataset_info:
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+ features:
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+ - name: regulator_locus_tag
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+ dtype: string
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+ description: Systematic gene name (ORF identifier) of the transcription factor
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+ role: regulator_identifier
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+ - name: target_locus_tag
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+ dtype: string
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+ description: Systematic gene name (ORF identifier) of the target gene
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+ role: target_identifier
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+ - name: rank
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+ dtype: int64
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+ description: Rank (ties method min rank) of the peak based on pvalue with ties broken by enrichment. Largest rank is most significant.
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+ - name: control_count
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+ dtype: int64
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+ description: Number of tags in the control condition
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+ - name: experimental_count
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+ dtype: int64
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+ description: Number of tags in the experimental condition
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+ - name: mu
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+ dtype: float64
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+ description: Expected count under the null hypothesis (control_count + 1) * (experimental_total_tags / control_total_tags)
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+ - name: enrichment
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+ dtype: float64
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+ description: Enrichment ratio of experimental over control. (experimental_counts / experimental_total) / (control_counts + pseudocount) / control_total
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+ role: quantitative_measure
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+ - name: log2_enrichment
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+ dtype: float64
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+ description: Log2-transformed enrichment ratio
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+ role: quantitative_measure
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+ - name: neg_log10_pvalue
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+ dtype: float64
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+ description: Negative log10 of the p-value for binding significance
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+ role: quantitative_measure
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+ - name: neg_log10_qvalue
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+ dtype: float64
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+ description: Negative log10 of the FDR-adjusted q-value
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+ role: quantitative_measure
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  ---
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  # Rossi 2021
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