16 citations · 17 across the 6 of their papers we have counts for
4 papers · 1 filter
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…
A feasible roadmap to identifying significant intercellular genomic heterogeneity in deep sequencing data
Guoqiang Yu, Roger R. Wang, Sean S. Wang +2
Intercellular heterogeneity serves as both a confounding factor in studying individual clones and an information source in characterizing any heterogeneous tissues, such as blood,…
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…