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MODifieR: an Ensemble R Package for Inference of Disease Modules from Transcriptomics Networks.
de Weerd, Hendrik A; Badam, Tejaswi V S; Martínez-Enguita, David; Åkesson, Julia; Muthas, Daniel; Gustafsson, Mika; Lubovac-Pilav, Zelmina.
Afiliação
  • de Weerd HA; School of Bioscience, Systems Biology Research Center, Skövde 541 45, Sweden.
  • Badam TVS; Department of Physics, Chemistry and Biology, Linköping University, Linköping 581 83, Sweden.
  • Martínez-Enguita D; School of Bioscience, Systems Biology Research Center, Skövde 541 45, Sweden.
  • Åkesson J; Department of Physics, Chemistry and Biology, Linköping University, Linköping 581 83, Sweden.
  • Muthas D; Department of Physics, Chemistry and Biology, Linköping University, Linköping 581 83, Sweden.
  • Gustafsson M; School of Bioscience, Systems Biology Research Center, Skövde 541 45, Sweden.
  • Lubovac-Pilav Z; Department of Physics, Chemistry and Biology, Linköping University, Linköping 581 83, Sweden.
Bioinformatics ; 36(12): 3918-3919, 2020 06 01.
Article em En | MEDLINE | ID: mdl-32271876
ABSTRACT
MOTIVATION Complex diseases are due to the dense interactions of many disease-associated factors that dysregulate genes that in turn form the so-called disease modules, which have shown to be a powerful concept for understanding pathological mechanisms. There exist many disease module inference methods that rely on somewhat different assumptions, but there is still no gold standard or best-performing method. Hence, there is a need for combining these methods to generate robust disease modules.

RESULTS:

We developed MODule IdentiFIER (MODifieR), an ensemble R package of nine disease module inference methods from transcriptomics networks. MODifieR uses standardized input and output allowing the possibility to combine individual modules generated from these methods into more robust disease-specific modules, contributing to a better understanding of complex diseases. AVAILABILITY AND IMPLEMENTATION MODifieR is available under the GNU GPL license and can be freely downloaded from https//gitlab.com/Gustafsson-lab/MODifieR and as a Docker image from https//hub.docker.com/r/ddeweerd/modifier. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Suécia