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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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| Pubblicato in: | BMC Genomics |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2015
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| Soggetti: | |
| Accesso online: | 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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