Title | PatternMarkers & GWCoGAPS for novel data-driven biomarkers via whole transcriptome NMF. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Stein-O'Brien GL, Carey JL, Lee WShing, Considine M, Favorov AV, Flam E, Guo T, Li S, Marchionni L, Sherman T, Sivy S, Gaykalova DA, McKay RD, Ochs MF, Colantuoni C, Fertig EJ |
Journal | Bioinformatics |
Volume | 33 |
Issue | 12 |
Pagination | 1892-1894 |
Date Published | 2017 Jun 15 |
ISSN | 1367-4811 |
Keywords | Algorithms, Bayes Theorem, Biomarkers, Gene Expression Profiling, Humans, Sequence Analysis, RNA, Software |
Abstract | Summary: Non-negative Matrix Factorization (NMF) algorithms associate gene expression with biological processes (e.g. time-course dynamics or disease subtypes). Compared with univariate associations, the relative weights of NMF solutions can obscure biomarkers. Therefore, we developed a novel patternMarkers statistic to extract genes for biological validation and enhanced visualization of NMF results. Finding novel and unbiased gene markers with patternMarkers requires whole-genome data. Therefore, we also developed Genome-Wide CoGAPS Analysis in Parallel Sets (GWCoGAPS), the first robust whole genome Bayesian NMF using the sparse, MCMC algorithm, CoGAPS. Additionally, a manual version of the GWCoGAPS algorithm contains analytic and visualization tools including patternMatcher, a Shiny web application. The decomposition in the manual pipeline can be replaced with any NMF algorithm, for further generalization of the software. Using these tools, we find granular brain-region and cell-type specific signatures with corresponding biomarkers in GTEx data, illustrating GWCoGAPS and patternMarkers ascertainment of data-driven biomarkers from whole-genome data. Availability and Implementation: PatternMarkers & GWCoGAPS are in the CoGAPS Bioconductor package (3.5) under the GPL license. Contact: gsteinobrien@jhmi.edu or ccolantu@jhmi.edu or ejfertig@jhmi.edu. Supplementary information: Supplementary data are available at Bioinformatics online. |
DOI | 10.1093/bioinformatics/btx058 |
Alternate Journal | Bioinformatics |
PubMed ID | 28174896 |
PubMed Central ID | PMC5860188 |
Grant List | R01 CA177669 / CA / NCI NIH HHS / United States T32 GM007814 / GM / NIGMS NIH HHS / United States |
Related Faculty:
Luigi Marchionni, M.D., Ph.D.