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FREQUENT SUBGRAPH MINING OF PERSONALIZED SIGNALING PATHWAY NETWORKS GROUPS PATIENTS WITH FREQUENTLY DYSREGULATED DISEASE PATHWAYS AND PREDICTS PROGNOSIS

MOTIVATION: Large scale genomics studies have generated comprehensive molecular characterization of numerous cancer types. Subtypes for many tumor types have been established; however, these classifications are based on molecular characteristics of a small gene sets with limited power to detect dysr...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:Pac Symp Biocomput
Päätekijät: Durmaz, Arda, Henderson, Tim A. D., Brubaker, Douglas, Bebek, Gurkan
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: 2017
Aiheet:
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6029858/
https://ncbi.nlm.nih.gov/pubmed/27896993
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1142/9789813207813_0038
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