INfORM : Inference of NetwOrk Response Modules

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Marwah , V S , Kinare , P A S , Serra , A , Scala , G , Lauerma , A , Fortino , V & Grecot , D 2018 , ' INfORM : Inference of NetwOrk Response Modules ' , Bioinformatics , vol. 34 , no. 12 , pp. 2136-2138 . https://doi.org/10.1093/bioinformatics/bty063

Title: INfORM : Inference of NetwOrk Response Modules
Author: Marwah, Veer Singh; Kinare, Pia Anneli Sofia; Serra, Angela; Scala, Giovanni; Lauerma, Antti; Fortino, Vittorio; Grecot, Dario
Other contributor: University of Helsinki, University of Tampere
University of Helsinki, Institute of Biotechnology
University of Helsinki, Clinicum
University of Helsinki, University of Tampere
University of Helsinki, Institute of Biotechnology



Date: 2018-06-15
Language: eng
Number of pages: 3
Belongs to series: Bioinformatics
ISSN: 1367-4803
DOI: https://doi.org/10.1093/bioinformatics/bty063
URI: http://hdl.handle.net/10138/237078
Abstract: The Summary: Detecting and interpreting responsive modules from gene expression data by using network-based approaches is a common but laborious task. It often requires the application of several computational methods implemented in different software packages, forcing biologists to compile complex analytical pipelines. Here we introduce INfORM (Inference of NetwOrk Response Modules), an R shiny application that enables non-expert users to detect, evaluate and select gene modules with high statistical and biological significance. INfORM is a comprehensive tool for the identification of biologically meaningful response modules from consensus gene networks inferred by using multiple algorithms. It is accessible through an intuitive graphical user interface allowing for a level of abstraction from the computational steps.
Subject: R PACKAGE
1182 Biochemistry, cell and molecular biology
3111 Biomedicine
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