Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms-Reference-Cited by-同舟云学术

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms

Published:2020 Issue: Volume: Page:273-317
ISSN:
Container-title:Cognitive Informatics, Computer Modelling, and Cognitive Science
language:
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Author:

Maniruzzaman ,Rahman Jahanur,Ahammed Benojir,Abedin Menhazul,Suri Harman S.,Biswas Mainak,El-Baz Ayman,Bangeas Petros,Tsoulfas Georgios,Suri Jasjit S.

Publisher

Elsevier

Reference54 articles.

1. 53 mutations in human cancers;Hollstein;Science,1991

2. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Bray;CA: A Cancer J. Clin.,2018

3. Cancer statistics, 2015;Siegel;CA: A Cancer J. Clin.,2015

4. Evolving connectionist systems for knowledge discovery from gene expression data of cancer tissue;Matthias;Artif. Intell. Med.,2003

5. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data;Monti;Mach. Learn.,2003

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