Cargando…
Robust Prediction of Anti-Cancer Drug Sensitivity and Sensitivity-Specific Biomarker
The personal genomics era has attracted a large amount of attention for anti-cancer therapy by patient-specific analysis. Patient-specific analysis enables discovery of individual genomic characteristics for each patient, and thus we can effectively predict individual genetic risk of disease and per...
Autores principales: | Park, Heewon, Shimamura, Teppei, Miyano, Satoru, Imoto, Seiya |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4201473/ https://www.ncbi.nlm.nih.gov/pubmed/25329067 http://dx.doi.org/10.1371/journal.pone.0108990 |
Ejemplares similares
-
Xprediction: Explainable EGFR-TKIs response prediction based on drug sensitivity specific gene networks
por: Park, Heewon, et al.
Publicado: (2022) -
Recursive Random Lasso (RRLasso) for Identifying Anti-Cancer Drug Targets
por: Park, Heewon, et al.
Publicado: (2015) -
PredictiveNetwork: predictive gene network estimation with application to gastric cancer drug response-predictive network analysis
por: Park, Heewon, et al.
Publicado: (2022) -
Statistical model-based testing to evaluate the recurrence of genomic aberrations
por: Niida, Atushi, et al.
Publicado: (2012) -
Comprehensive information-based differential gene regulatory networks analysis (CIdrgn): Application to gastric cancer and chemotherapy-responsive gene network identification
por: Park, Heewon, et al.
Publicado: (2023)