Pathway Relevance Ranking for Tumor Samples through Network-Based Data Integration

The study of cancer, a highly heterogeneous disease with different causes and clinical outcomes, requires a multi-angle approach and the collection of large multi-omics datasets that, ideally, should be analyzed simultaneously. We present a new pathway relevance ranking method that is able to priori...

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Detalles Bibliográficos
Autores principales: Verbeke, Lieven P. C., Van den Eynden, Jimmy, Fierro, Ana Carolina, Demeester, Piet, Fostier, Jan, Marchal, Kathleen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4517887/
https://www.ncbi.nlm.nih.gov/pubmed/26217958
http://dx.doi.org/10.1371/journal.pone.0133503

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4517887/
https://www.ncbi.nlm.nih.gov/pubmed/26217958
http://dx.doi.org/10.1371/journal.pone.0133503

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