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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....
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2018
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| Materias: | |
| 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 |