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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Detalles Bibliográficos
Autores principales: Shah, Sahil D., Braun, Rosemary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Methodology Article
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

Internet

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

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