Combining genomic and network characteristics for extended capability in predicting synergistic drugs for cancer

The identification of synergistic chemotherapeutic agents from a large pool of candidates is highly challenging. Here, we present a Ranking-system of Anti-Cancer Synergy (RACS) that combines features of targeting networks and transcriptomic profiles, and validate it on three types of cancer. Using d...

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Detalles Bibliográficos
Autores principales: Sun, Yi, Sheng, Zhen, Ma, Chao, Tang, Kailin, Zhu, Ruixin, Wu, Zhuanbin, Shen, Ruling, Feng, Jun, Wu, Dingfeng, Huang, Danyi, Huang, Dandan, Fei, Jian, Liu, Qi, Cao, Zhiwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Pub. Group 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598846/
https://www.ncbi.nlm.nih.gov/pubmed/26412466
http://dx.doi.org/10.1038/ncomms9481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598846/
https://www.ncbi.nlm.nih.gov/pubmed/26412466
http://dx.doi.org/10.1038/ncomms9481

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