Cargando…
Graph algorithms for machine learning: a case-control study based on prostate cancer populations and high throughput transcriptomic data
Autores principales: | Rogers, Gary L, Moscato, Pablo, Langston, Michael A |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3290075/ http://dx.doi.org/10.1186/1471-2105-11-S4-P21 |
Ejemplares similares
-
Algorithmic tools for tripartite data analysis
por: Phillips, Charles A, et al.
Publicado: (2014) -
Inferring gene coexpression networks for low dose ionizing radiation using graph theoretical algorithms and systems genetics
por: Naswa, Sudhir, et al.
Publicado: (2010) -
Adaptive cluster algorithm to infer Boltzmann machines from multi-electrode recording data
por: Cocco, Simona, et al.
Publicado: (2011) -
On finding bicliques in bipartite graphs: a novel algorithm and its application to the integration of diverse biological data types
por: Zhang, Yun, et al.
Publicado: (2014) -
Naturalistic study of the joint presence of headache and pets
por: Moscato, D, et al.
Publicado: (2013)