Inferring cancer subnetwork markers using density-constrained biclustering

Motivation: Recent genomic studies have confirmed that cancer is of utmost phenotypical complexity, varying greatly in terms of subtypes and evolutionary stages. When classifying cancer tissue samples, subnetwork marker approaches have proven to be superior over single gene marker approaches, most i...

Descripción completa

Detalles Bibliográficos
Autores principales: Dao, Phuong, Colak, Recep, Salari, Raheleh, Moser, Flavia, Davicioni, Elai, Schönhuth, Alexander, Ester, Martin
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Eccb 2010 Conference Proceedings September 26 to September 29, 2010, Ghent, Belgium
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935415/
https://www.ncbi.nlm.nih.gov/pubmed/20823331
http://dx.doi.org/10.1093/bioinformatics/btq393

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935415/
https://www.ncbi.nlm.nih.gov/pubmed/20823331
http://dx.doi.org/10.1093/bioinformatics/btq393

Ejemplares similares