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Stringgaussnet: From differentially expressed genes to semantic and Gaussian networks generation

Bioinformatics (2015) 31(23) 3865-3867
DOI: 10.1093/bioinformatics/btv450
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Abstract

Motivation: Knowledge-based and co-expression networks are two kinds of gene networks that can be currently implemented by sophisticated but distinct tools. We developed stringgaussnet, an R package that integrates both approaches, starting from a list of differentially expressed genes.

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CITATION STYLE

APA

Chaplais, E., & Garchon, H. J. (2015). Stringgaussnet: From differentially expressed genes to semantic and Gaussian networks generation. Bioinformatics, 31(23), 3865–3867. https://doi.org/10.1093/bioinformatics/btv450

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