Cargando…
Integrative computational biology for cancer research
Over the past two decades, high-throughput (HTP) technologies such as microarrays and mass spectrometry have fundamentally changed clinical cancer research. They have revealed novel molecular markers of cancer subtypes, metastasis, and drug sensitivity and resistance. Some have been translated into...
Autores principales: | Fortney, Kristen, Jurisica, Igor |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2011
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3179275/ https://www.ncbi.nlm.nih.gov/pubmed/21691773 http://dx.doi.org/10.1007/s00439-011-0983-z |
Ejemplares similares
-
Cancer computational biology
por: Yakhini, Zohar, et al.
Publicado: (2011) -
Inferring the functions of longevity genes with modular subnetwork biomarkers of Caenorhabditis elegans aging
por: Fortney, Kristen, et al.
Publicado: (2010) -
Prioritizing Therapeutics for Lung Cancer: An Integrative Meta-analysis of Cancer Gene Signatures and Chemogenomic Data
por: Fortney, Kristen, et al.
Publicado: (2015) -
Visual Data Mining of Biological Networks: One Size Does Not Fit All
por: Pastrello, Chiara, et al.
Publicado: (2013) -
NetwoRx: connecting drugs to networks and phenotypes in Saccharomyces cerevisiae
por: Fortney, Kristen, et al.
Publicado: (2013)