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• W4366682007 abstract "<p>Unsupervised model predictions and patient/validation cohort sequencing metrics Sheet 1: DFCI Cohort I: Tumor phenotype by histology and estimates of tumor fraction, subtyping score, and inferred subtype calls using ctdPheno. Sheet 2: DFCI cohort I: Tumor phenotype by histology and estimates of tumor fraction, subtyping score, and inferred phenotypic subtype calls using different ATAC-seq site restricted analysis using ctdPheno. Sheet 3: DFCI cohort I: Tumor phenotype by histology and estimates of tumor fraction, subtyping score, and inferred phenotypic subtype calls using different ATAC-seq site restricted analysis using Keraon. Sheet 4: DFCI Cohort II: Tumor phenotype by histology, summary of clinical correlatives and estimates of tumor fraction, subtyping score, and inferred subtype calls using ctdPheno. Sheet 5: Histology, tumor fraction, subtype score, NEPC fraction, and subtype calls for WGS and ULP patient samples (UW cohort). Sheet 6: Complete sequencing metrics for DFCI cohort I. Sheet 7: Complete sequencing metrics for DFCI cohort II (ULP). Sheet 8: Complete sequencing metrics for DFCI cohort II (deep WGS) Sheet 9: Complete sequencing metrics and ichorCNA estimated tumor fractions for the UW cohort (ULP). Sheet 10: Complete sequencing metrics for the UW cohort (deep WGS) Sheet 11: Complete sequencing metrics for the healthy donor cohort. Sheet 12: Clinical data summary for UW cohort.</p>" @default.
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• W4366682007 date "2023-04-21" @default.
• W4366682007 modified "2023-10-18" @default.
• W4366682007 title "Supplementary Table S5 from Nucleosome Patterns in Circulating Tumor DNA Reveal Transcriptional Regulation of Advanced Prostate Cancer Phenotypes" @default.
• W4366682007 doi "https://doi.org/10.1158/2159-8290.22674253.v1" @default.
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