Predicting Response to Preoperative Chemotherapy Agents by Identifying Drug Action on Modeled MicroRNA Regulation Networks

Identifying patients most responsive to specific chemotherapy agents in neoadjuvant settings can help to maximize the benefits of treatment and minimize unnecessary side effects. Metagene approaches that predict response based on gene expression signatures derived from an associative analysis of cli...

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Detalles Bibliográficos
Autores principales: Zhu, Lida, Liu, Juan, Liang, Fengji, Rayner, Simon, Xiong, Jianghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029965/
https://www.ncbi.nlm.nih.gov/pubmed/24848634
http://dx.doi.org/10.1371/journal.pone.0098140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029965/
https://www.ncbi.nlm.nih.gov/pubmed/24848634
http://dx.doi.org/10.1371/journal.pone.0098140

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