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A Random Walk Based Cluster Ensemble Approach for Data Integration and Cancer Subtyping

Availability of diverse types of high-throughput data increases the opportunities for researchers to develop computational methods to provide a more comprehensive view for the mechanism and therapy of cancer. One fundamental goal for oncology is to divide patients into subtypes with clinical and bio...

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Détails bibliographiques
Publié dans:Genes (Basel)
Auteurs principaux: Yang, Chao, Wang, Yu-Tian, Zheng, Chun-Hou
Format: Artigo
Langue:Inglês
Publié: MDPI 2019
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC6356971/
https://ncbi.nlm.nih.gov/pubmed/30669418
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/genes10010066
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