Cargando…
A framework for personalized medicine: prediction of drug sensitivity in cancer by proteomic profiling
BACKGROUND: The goal of personalized medicine is to provide patients optimal drug screening and treatment based on individual genomic or proteomic profiles. Reverse-Phase Protein Array (RPPA) technology offers proteomic information of cancer patients which may be directly related to drug sensitivity...
Autores principales: | Kim, Dong-Chul, Wang, Xiaoyu, Yang, Chin-Rang, Gao, Jean X |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3380735/ https://www.ncbi.nlm.nih.gov/pubmed/22759571 http://dx.doi.org/10.1186/1477-5956-10-S1-S13 |
Ejemplares similares
-
Learning biological network using mutual information and conditional independence
por: Kim, Dong-Chul, et al.
Publicado: (2010) -
The Musite open-source framework for phosphorylation-site prediction
por: Gao, Jianjiong, et al.
Publicado: (2010) -
Predictive diagnostics and personalized medicine for the prevention of chronic degenerative diseases
por: Licastro, Federico, et al.
Publicado: (2010) -
Structural similarity assessment for drug sensitivity prediction in cancer
por: Shivakumar, Pavithra, et al.
Publicado: (2009) -
The Translational Medicine Ontology and Knowledge Base: driving personalized medicine by bridging the gap between bench and bedside
por: Luciano, Joanne S, et al.
Publicado: (2011)