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Using knowledge-driven genomic interactions for multi-omics data analysis: metadimensional models for predicting clinical outcomes in ovarian carcinoma

It is common that cancer patients have different molecular signatures even though they have similar clinical features, such as histology, due to the heterogeneity of tumors. To overcome this variability, we previously developed a new approach incorporating prior biological knowledge that identifies...

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Detalhes bibliográficos
Publicado no:J Am Med Inform Assoc
Main Authors: Kim, Dokyoon, Li, Ruowang, Lucas, Anastasia, Verma, Shefali S, Dudek, Scott M, Ritchie, Marylyn D
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5391734/
https://ncbi.nlm.nih.gov/pubmed/28040685
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocw165
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