NPA: an R package for computing network perturbation amplitudes using gene expression data and two-layer networks

BACKGROUND: High-throughput gene expression technologies provide complex datasets reflecting mechanisms perturbed in an experiment, typically in a treatment versus control design. Analysis of these information-rich data can be guided based on a priori knowledge, such as networks of related proteins...

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I publikationen:BMC Bioinformatics
Huvudupphovsmän: Martin, Florian, Gubian, Sylvain, Talikka, Marja, Hoeng, Julia, Peitsch, Manuel C.
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2019
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Software
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC6724309/
https://ncbi.nlm.nih.gov/pubmed/31481014
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-3016-x
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