DysRegSig: an R package for identifying gene dysregulations and building mechanistic signatures in cancer

SUMMARY: Dysfunctional regulations of gene expression programs relevant to fundamental cell processes can drive carcinogenesis. Therefore, systematically identifying dysregulation events is an effective path for understanding carcinogenesis and provides insightful clues to build predictive signature...

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Detalles Bibliográficos
Autores principales: Li, Quanxue, Dai, Wentao, Liu, Jixiang, Sang, Qingqing, Li, Yi-Xue, Li, Yuan-Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058765/
https://www.ncbi.nlm.nih.gov/pubmed/32717036
http://dx.doi.org/10.1093/bioinformatics/btaa688

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058765/
https://www.ncbi.nlm.nih.gov/pubmed/32717036
http://dx.doi.org/10.1093/bioinformatics/btaa688

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