Ensemble Consensus-Guided Unsupervised Feature Selection to Identify Huntington’s Disease-Associated Genes

Due to the complexity of the pathological mechanisms of neurodegenerative diseases, traditional differentially-expressed gene selection methods cannot detect disease-associated genes accurately. Recent studies have shown that consensus-guided unsupervised feature selection (CGUFS) performs well in f...

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Detalles Bibliográficos
Autores principales: Guo, Xia, Jiang, Xue, Xu, Jing, Quan, Xiongwen, Wu, Min, Zhang, Han
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071299/
https://www.ncbi.nlm.nih.gov/pubmed/30002337
http://dx.doi.org/10.3390/genes9070350

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6071299/
https://www.ncbi.nlm.nih.gov/pubmed/30002337
http://dx.doi.org/10.3390/genes9070350

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