Applying unmixing to gene expression data for tumor phylogeny inference.

ABSTRACT:

Background

While in principle a seemingly infinite variety of combinations of mutations could result in tumor development, in practice it appears that most human cancers fall into a relatively small number of "sub-types," each characterized a roughly equivalent sequence of mutations by which it progresses in different patients. There is currently great interest in identifying the common sub-types and applying them to the development of diagnostics or therapeutics. Phylogenetic methods have shown great promise for inferring common patterns of tumor progression, but suffer from limits of the technologies available for assaying differences between and within tumors. One approach to tumor phylogenetics uses differences between single cells within tumors, gaining valuable information ab

SUBMITTER: Schwartz R 

PROVIDER: S-EPMC2823708 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature