HSSVD: Biclustering with heterogeneous variance (R).

TitleHSSVD: Biclustering with heterogeneous variance (R).
Publication TypeSoftware
Year of Publication2013
AuthorsChen, Guanhua, and Michael R. Kosorok
Abstract

HSSVD is a recently developed data mining tool for discovering subgroups of patients and genes which simultaneously display unusual levels of variability compared to other genes and patients. Previous biclustering methods were restricted to mean level detection, while the new method can detect both mean and variance biclusters by Chen, Sullivan and Kosorok.

Original PublicationHSSVD: Biclustering with heterogeneous variance (R).
Project: