CaDrA: A Computational Framework for Performing Candidate Driver Analyses Using Genomic Features

The identification of genetic alteration combinations as drivers of a given phenotypic outcome, such as drug sensitivity, gene or protein expression, and pathway activity, is a challenging task that is essential to gaining new biological insights and to discovering therapeutic targets. Existing meth...

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Detalles Bibliográficos
Autores principales: Kartha, Vinay K., Sebastiani, Paola, Kern, Joseph G., Zhang, Liye, Varelas, Xaralabos, Monti, Stefano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Genetics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390206/
https://www.ncbi.nlm.nih.gov/pubmed/30838036
http://dx.doi.org/10.3389/fgene.2019.00121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390206/
https://www.ncbi.nlm.nih.gov/pubmed/30838036
http://dx.doi.org/10.3389/fgene.2019.00121

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