Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.
<h4>Background</h4>Exogenous short interfering RNAs (siRNAs) induce a gene knockdown effect in cells by interacting with naturally occurring RNA processing machinery. However not all siRNAs induce this effect equally. Several heterogeneous kinds of machine learning techniques and feature...
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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2009
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| Accès en ligne: | https://doaj.org/article/54a6ebf42aa84d0aa39f142f1ab115e5 |
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