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A novel missense-mutation-related feature extraction scheme for ‘driver’ mutation identification
Motivation: It becomes widely accepted that human cancer is a disease involving dynamic changes in the genome and that the missense mutations constitute the bulk of human genetic variations. A multitude of computational algorithms, especially the machine learning-based ones, has consequently been pr...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Oxford University Press
2012
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3496432/ https://ncbi.nlm.nih.gov/pubmed/23044540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts558 |
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