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JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics data

2017-01-09

Abstract excerpt

<h4>Motivation</h4> A complex disease is usually driven by a number of genes interwoven into networks, rather than a single gene product. Network comparison or differential network analysis has become an important means of revealing the underlying mechanism of pathogenesis and identifying clinical biomarkers for disease classification. Most studies, however, are limited to network correlations that mainly capture...

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Literature Corpus work
0c0f5ed7-1da9-58a9-a51a-b1942339275d
DOI
10.1101/099234
Open publication

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JDINAC: joint density-based non-parametric differential interaction network analysis and classification using high-dimensional sparse omics dataDOI 10.1101/099234
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