Drug Repositioning for Cancer Therapy Based on Large-Scale Drug-Induced Transcriptional Signatures

An in silico chemical genomics approach is developed to predict drug repositioning (DR) candidates for three types of cancer: glioblastoma, lung cancer, and breast cancer. It is based on a recent large-scale dataset of ~20,000 drug-induced expression profiles in multiple cancer cell lines, which pro...

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Detalles Bibliográficos
Autores principales: Lee, Haeseung, Kang, Seungmin, Kim, Wankyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783079/
https://www.ncbi.nlm.nih.gov/pubmed/26954019
http://dx.doi.org/10.1371/journal.pone.0150460

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4783079/
https://www.ncbi.nlm.nih.gov/pubmed/26954019
http://dx.doi.org/10.1371/journal.pone.0150460

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