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An unsupervised learning approach to find ovarian cancer genes through integration of biological data

Cancer is a disease characterized largely by the accumulation of out-of-control somatic mutations during the lifetime of a patient. Distinguishing driver mutations from passenger mutations has posed a challenge in modern cancer research. With the advanced development of microarray experiments and cl...

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Bibliografski detalji
Izdano u:BMC Genomics
Glavni autori: Ma, Christopher, Chen, Yixin, Wilkins, Dawn, Chen, Xiang, Zhang, Jinghui
Format: Artigo
Jezik:Inglês
Izdano: BioMed Central 2015
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4547402/
https://ncbi.nlm.nih.gov/pubmed/26328548
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2164-16-S9-S3
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