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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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Bibliografski detalji
Izdano u:J Am Med Inform Assoc
Glavni autori: Kim, Dokyoon, Li, Ruowang, Lucas, Anastasia, Verma, Shefali S, Dudek, Scott M, Ritchie, Marylyn D
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2017
Teme:
Online pristup: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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