Application of nature inspired soft computing techniques for gene selection: a novel frame work for classification of cancer
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-022-07032-9.pdf
Reference62 articles.
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3. Alshamlan HM, Badr GH, Alohali YA (2015) Genetic bee colony (GBC) algorithm: a new gene selection method for microarray cancer classification. Comput Biol Chem 56:49–60
4. Armstrong SA et al (2002) MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia. Nat Genet 30(1):41–47
5. Aziz R, Verma C, Srivastava N (2016) A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data. Genom Data.
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