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

Authors :
Gavin Ha
Peter S. Nelson
Steven Henikoff
Eva Corey
R. Bruce Montgomery
Michael C. Haffner
Kami Ahmad
Matthew L. Freedman
Jacob E. Berchuck
Sylvan C. Baca
Atish D. Choudhury
Colm Morrissey
Michael T. Schweizer
Colin C. Pritchard
Heather M. McClure
Holly M. Nguyen
Talina A. Nunez
Jared M. Lucas
Ruth F. Dumpit
Arnab Bose
Ilsa M. Coleman
Lisa S. Ang
Derek H. Janssens
Michael P. Meers
Sandipan Brahma
Minjeong Ko
Jay F. Sarthy
Adam J. Kreitzman
Mohamed Adil
Brian Hanratty
Anna-Lisa Doebley
Robert D. Patton
Navonil De Sarkar
Publication Year :
2023
Publisher :
American Association for Cancer Research (AACR), 2023.

Abstract

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).

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....131f41ff743e41934b8e4242f49253ae