Article

GAC: Gene Associations with Clinical, a web based application

2018-02-15

Abstract excerpt

We present GAC, a shiny R based tool for interactive visualization of clinical associations based on high-dimensional data. The tool provides a web-based suite to perform supervised principal component analysis (SuperPC), an approach that uses both high-dimensional data, such as gene expression, combined with clinical data to infer clinical associations. We extended the approach to address binary outcomes, in addi...

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Literature Corpus work: c3780091-6d00-557d-90db-ba62cf3790e3
DOI: 10.12688/f1000research.11840.4

Open publication

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