ProteoMixture: A cell type deconvolution tool for bulk tissue proteomic data

ProteoMixture: A cell type deconvolution tool for bulk tissue proteomic data

Summary: Numerous multi-omic investigations of cancer tissue have documented varying and poor pairwise transcript:protein quantitative correlations, and most deconvolution tools aiming to predict cell type proportions (cell admixture) have been developed and credentialed using transcript-level data...

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Bibliographic Details
Main Authors: Pang-ning Teng, Joshua P. Schaaf, Tamara Abulez, Brian L. Hood, Katlin N. Wilson, Tracy J. Litzi, David Mitchell, Kelly A. Conrads, Allison L. Hunt, Victoria Olowu, Julie Oliver, Fred S. Park, Marshé Edwards, AiChun Chiang, Matthew D. Wilkerson, Praveen-Kumar Raj-Kumar, Christopher M. Tarney, Kathleen M. Darcy, Neil T. Phippen, G. Larry Maxwell, Thomas P. Conrads, Nicholas W. Bateman
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:iScience
Subjects:
Computational bioinformatics
Proteomics
Transcriptomics
Online Access:http://www.sciencedirect.com/science/article/pii/S258900422400419X

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http://www.sciencedirect.com/science/article/pii/S258900422400419X

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