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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...
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6503437/ https://ncbi.nlm.nih.gov/pubmed/31060502 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2829-y |
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