Comparing Artificial Neural Networks, General Linear Models and Support Vector Machines in Building Predictive Models for Small Interfering RNAs

BACKGROUND: 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 sets have been app...

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Detalles Bibliográficos
Autores principales: McQuisten, Kyle A., Peek, Andrew S.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760777/
https://www.ncbi.nlm.nih.gov/pubmed/19847297
http://dx.doi.org/10.1371/journal.pone.0007522

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2760777/
https://www.ncbi.nlm.nih.gov/pubmed/19847297
http://dx.doi.org/10.1371/journal.pone.0007522

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