Open AccessAbstract 4700: Quantification of intratumoral heterogeneity in individual luminal A breast cancers from whole transcriptome data through semi-supervised learning
Author(s) -
Neeraj Kumar,
Yash Dharmamer,
Amit Sethi,
Peter H. Gann
Publication year - 2019
Publication title -
cancer research
Language(s) - English
Resource type - Conference proceedings
eISSN - 1538-7445
pISSN - 0008-5472
DOI - 10.1158/1538-7445.am2019-4700
Subject(s) - transcriptome , pairwise comparison , breast cancer , false discovery rate , gene expression profiling , computational biology , gene , gene expression , medicine , computer science , cancer , artificial intelligence , biology , genetics