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Partial AUC maximization for essential gene prediction using genetic algorithms
Identifying genes indispensable for an organism‘s life and their characteristics is one of the central questions in current biological research, and hence it would be helpful to develop computational approaches towards the prediction of essential genes. The performance of a predictor is usually meas...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Korean Society for Biochemistry and Molecular Biology
2013
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4133830/ https://ncbi.nlm.nih.gov/pubmed/23351383 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5483/BMBRep.2013.46.1.159 |
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