A Systematic Evaluation of Feature Selection and Classification Algorithms Using Simulated and Real miRNA Sequencing Data

Sequencing is widely used to discover associations between microRNAs (miRNAs) and diseases. However, the negative binomial distribution (NB) and high dimensionality of data obtained using sequencing can lead to low-power results and low reproducibility. Several statistical learning algorithms have b...

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Detalles Bibliográficos
Autores principales: Yang, Sheng, Guo, Li, Shao, Fang, Zhao, Yang, Chen, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609795/
https://www.ncbi.nlm.nih.gov/pubmed/26508990
http://dx.doi.org/10.1155/2015/178572

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4609795/
https://www.ncbi.nlm.nih.gov/pubmed/26508990
http://dx.doi.org/10.1155/2015/178572

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