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Supplementary Table S4 from Nucleosome Patterns in Circulating Tumor DNA Reveal Transcriptional Regulation of Advanced Prostate Cancer Phenotypes

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https://figshare.com/articles/dataset/Supplementary_Table_S4_from_Nucleosome_Patterns_in_Circulating_Tumor_DNA_Reveal_Transcriptional_Regulation_of_Advanced_Prostate_Cancer_Phenotypes/22674256
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Feature-region combination AUCs and benchmarking Sheet 1: Log2 fold-change, p-value, and q-value between ARPC and NEPC lines for central mean coverage in all queried (338) TFs (two tailed Mann-Whitney U test, Benjamini-Hochberg adjusted). Sheet 2: 100-fold cross-validation AUCs for all region and feature combinations subset by the ‘AR10’ overlapping features (see Methods). Sheet 3: 100-fold cross-validation AUCs for all region and feature combinations subset by the ‘Phenotype 47-defining’ overlapping features. Sheet 4: 100-fold cross-validation AUCs for all region and feature combinations (global). Sheet 5: Predictions scores, tumor fraction, depth of coverage, and subtype for benchmarking admixtures. Sheet 6: AUCs for unsupervised prediction of admixture subtypes grouped by tumor fraction and depth. Sheet 7: NEPC:ARPC ratio, tumor fraction, and ARPC and NEPC fraction predictions for mixed phenotype admixtures using Keraon (see Methods).
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2023-03-01
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