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Feature selection of gene expression data for Cancer classification using double RBF-kernels

BACKGROUND: Using knowledge-based interpretation to analyze omics data can not only obtain essential information regarding various biological processes, but also reflect the current physiological status of cells and tissue. The major challenge to analyze gene expression data, with a large number of...

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Detaylı Bibliyografya
Yayımlandı:BMC Bioinformatics
Asıl Yazarlar: Liu, Shenghui, Xu, Chunrui, Zhang, Yusen, Liu, Jiaguo, Yu, Bin, Liu, Xiaoping, Dehmer, Matthias
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: BioMed Central 2018
Konular:
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC6206917/
https://ncbi.nlm.nih.gov/pubmed/30373514
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-018-2400-2
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