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MODifieR :
MODifieR : an ensemble R package for inference of disease modules from transcriptomics networks
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- de Weerd, Hendrik A. (författare)
- Linköpings universitet,Högskolan i Skövde,Institutionen för biovetenskap,Forskningsmiljön Systembiologi,Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden,Translationell bioinformatik, Translational bioinformatics,Bioinformatik,Tekniska fakulteten,Syst Biol Res Ctr, Sweden
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- Badam, Tejaswi V. S. (författare)
- Linköpings universitet,Högskolan i Skövde,Institutionen för biovetenskap,Forskningsmiljön Systembiologi,Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden,Translationell bioinformatik, Translational bioinformatics,Bioinformatik,Tekniska fakulteten,Syst Biol Res Ctr, Sweden
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- Martinez, David (författare)
- Linköpings universitet,Bioinformatik,Tekniska fakulteten
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- Åkesson, Julia (författare)
- Linköpings universitet,Högskolan i Skövde,Institutionen för biovetenskap,Forskningsmiljön Systembiologi,Department of Physics, Chemistry and Biology, Linköping University, Linköping, Sweden,Translationell bioinformatik, Translational bioinformatics,Bioinformatik,Tekniska fakulteten,Syst Biol Res Ctr, Sweden
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- Muthas, Daniel (författare)
- Translational Science & Experimental Medicine, Early Respiratory, Inflammation and Autoimmunity, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
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- Gustafsson, Mika (författare)
- Linköpings universitet,Bioinformatik,Tekniska fakulteten
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- Lubovac-Pilav, Zelmina (författare)
- Högskolan i Skövde,Institutionen för biovetenskap,Forskningsmiljön Systembiologi,Translationell bioinformatik, Translational bioinformatics,Syst Biol Res Ctr, Sweden
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(creator_code:org_t)
- 2020-04-09
- 2020
- Engelska.
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Ingår i: Bioinformatics. - : Oxford University Press. - 1367-4803 .- 1367-4811 .- 1460-2059. ; 36:12, s. 3918-3919
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- MOTIVATION: Complex diseases are due to the dense interactions of many disease-associated factors that dysregulate genes that in turn form 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: 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.
Ämnesord
- NATURVETENSKAP -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)
Nyckelord
- Bioinformatik
- Bioinformatics
- INF501 Integration of -omics Data
- INF501 Integrering av -omicsdata
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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