iGPSe

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A Visual Analytic System for Integrative Genomic Based Cancer Patient Stratification

Hao Ding
Chao Wang
Kun Huang

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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Institution: The Ohio State University

This work is partially supported by National Institutes of Health under Grant R01CA141090.