Integrative Pathway Analysis Using Graph-Based Learning with Applications to TCGA Colon and Ovarian Data

Recent method development has included multi-dimensional genomic data algorithms because such methods have more accurately predicted clinical phenotypes related to disease. This study is the first to conduct an integrative genomic pathway-based analysis with a graph-based learning algorithm. The met...

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Detalles Bibliográficos
Autores principales: Dellinger, Andrew E, Nixon, Andrew B, Pang, Herbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2014
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125381/
https://www.ncbi.nlm.nih.gov/pubmed/25125969
http://dx.doi.org/10.4137/CIN.S13634

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4125381/
https://www.ncbi.nlm.nih.gov/pubmed/25125969
http://dx.doi.org/10.4137/CIN.S13634

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