4 papers
A feasible roadmap for unsupervised deconvolution of two-source mixed gene expressions
Niya Wang, Eric P. Hoffman, Robert Clarke +7
Tissue heterogeneity is a major confounding factor in studying individual populations that cannot be resolved directly by global profiling. Experimental solutions to mitigate tissu…
BACOM 2.0 facilitates absolute normalization and quantification of somatic copy number alterations in heterogeneous tumor
Yi Fu, Guoqiang Yu, Douglas A. Levine +5
BACOM is a statistically principled and unsupervised method that detects copy number deletion types (homozygous versus heterozygous), estimates normal cell fraction, and recovers c…
Knowledge-fused differential dependency network models for detecting significant rewiring in biological networks
Ye Tian, Bai Zhang, Eric P. Hoffman +6
Modeling biological networks serves as both a major goal and an effective tool of systems biology in studying mechanisms that orchestrate the activities of gene products in cells.…
Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity
Li Chen, Peter L. Choyke, Niya Wang +4
Intratumor heterogeneity is often manifested by vascular compartments with distinct pharmacokinetics that cannot be resolved directly by in vivo dynamic imaging. We developed tissu…