Comparing artificial neural networks, general linear models and support vector machines in building predictive models for small interfering RNAs.

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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Bibliographic Details
Main Authors: Kyle A McQuisten, Andrew S Peek
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-10-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19847297/pdf/?tool=EBI

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