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Graph- and rule-based learning algorithms: a comprehensive review of their applications for cancer type classification and prognosis using genomic data

Cancer is well recognized as a complex disease with dysregulated molecular networks or modules. Graph- and rule-based analytics have been applied extensively for cancer classification as well as prognosis using large genomic and other data over the past decade. This article provides a comprehensive...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Brief Bioinform
Hauptverfasser: Mallik, Saurav, Zhao, Zhongming
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2019
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7373185/
https://ncbi.nlm.nih.gov/pubmed/30649169
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bby120
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