Integrative bioinformatic analyses of an oncogenomic profile reveal the biology of endometrial cancer and guide drug discovery

A major challenge in personalized cancer medicine is to establish a systematic approach to translate huge oncogenomic datasets to clinical situations and facilitate drug discovery for cancers such as endometrial carcinoma. We performed a genome-wide somatic mutation-expression association study in a...

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Detalles Bibliográficos
Autores principales: Wong, Henry Sung-Ching, Juan, Yung-Shun, Wu, Mei-Shin, Zhang, Yan-Feng, Hsu, Yu-Wen, Chen, Huang-Hui, Liu, Wei-Min, Chang, Wei-Chiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868730/
https://www.ncbi.nlm.nih.gov/pubmed/26716509
http://dx.doi.org/10.18632/oncotarget.6716

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4868730/
https://www.ncbi.nlm.nih.gov/pubmed/26716509
http://dx.doi.org/10.18632/oncotarget.6716

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