Themes:
A Visual Analytic System for Integrative Genomic Based Cancer Patient Stratification
A Visual Analytic System for Integrative Genomic Based Cancer Patient Stratification
The Interactive Genomics Patient Stratification explorer (iGPSe) significantly reduces the computing burden for biomedical researchers in the process of exploring complicated integrative genomics data. This system integrates unsupervised clustering with graph and parallel sets visualization and allows direct comparison of clinical outcomes via survival analysis. Using a breast cancer dataset obtained from the The Cancer Genome Atlas (TCGA) project, it is possible to quickly explore different combinations of gene expression (mRNA) and microRNA features and identify potential combined markers for survival prediction.
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Project development
Institution:
The Ohio State University
This work is partially supported by National Institutes of Health under Grant R01CA141090.
Last updated on 19th September, 2014
