A Review of Matched-pairs Feature Selection Methods for Gene Expression Data Analysis

With the rapid accumulation of gene expression data from various technologies, e.g., microarray, RNA-sequencing (RNA-seq), and single-cell RNA-seq, it is necessary to carry out dimensional reduction and feature (signature genes) selection in support of making sense out of such high dimensional data....

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Detalles Bibliográficos
Autores principales: Liang, Sen, Ma, Anjun, Yang, Sen, Wang, Yan, Ma, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2018
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158772/
https://www.ncbi.nlm.nih.gov/pubmed/30275937
http://dx.doi.org/10.1016/j.csbj.2018.02.005

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6158772/
https://www.ncbi.nlm.nih.gov/pubmed/30275937
http://dx.doi.org/10.1016/j.csbj.2018.02.005

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