z-logo
open-access-imgOpen Access
High Performance Classification of Cancer Types with Gene Microarray Datasets: Hybrid Approach
Author(s) -
Yılmaz Atay,
Muhterem Oğuzhan YILDIRIM,
Cuma Umur DOĞAN
Publication year - 2021
Publication title -
gazi üniversitesi fen bilimleri dergisi part c tasarım ve teknoloji
Language(s) - English
Resource type - Journals
ISSN - 2147-9526
DOI - 10.29109/gujsc.1000926
Subject(s) - feature selection , naive bayes classifier , computer science , gene selection , classifier (uml) , microarray analysis techniques , data mining , artificial intelligence , gene chip analysis , bayes' theorem , microarray databases , dna microarray , pattern recognition (psychology) , machine learning , gene , support vector machine , biology , bayesian probability , gene expression , genetics

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom