Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis.

Saved in:
Bibliographic Details
Title: Examining applying high performance genetic data feature selection and classification algorithms for colon cancer diagnosis.
Authors: Al-Rajab M; University of Huddersfield, Queensgate, Huddersfield, United Kingdom . Electronic address: u1174101@hud.ac.uk., Lu J; University of Huddersfield, Queensgate, Huddersfield, United Kingdom . Electronic address: j.lu@husd.ac.uk., Xu Q; University of Huddersfield, Queensgate, Huddersfield, United Kingdom . Electronic address: Q.Xu2@hud.ac.uk.
Source: Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2017 Jul; Vol. 146, pp. 11-24. Date of Electronic Publication: 2017 May 04.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-7565
DOI:10.1016/j.cmpb.2017.05.001