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GeneSurrounder: network-based identification of disease genes in expression data
BACKGROUND: A key challenge of identifying disease–associated genes is analyzing transcriptomic data in the context of regulatory networks that control cellular processes in order to capture multi-gene interactions and yield mechanistically interpretable results. One existing category of analysis te...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6503437/ https://www.ncbi.nlm.nih.gov/pubmed/31060502 http://dx.doi.org/10.1186/s12859-019-2829-y |