A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm

A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm

Bibliographic Details
Main Authors: Babak Nouri-Moghaddam, Mehdi Ghazanfari, Mohammad Fathian
Format: Article
Language:English
Published: Growing Science 2020-05-01
Series:Decision Science Letters
Online Access:http://www.growingscience.com/dsl/Vol9/dsl_2020_18.pdf
id doaj-4c5590c2bbd94af0855cbc2b5173c2b3
record_format Article
spelling doaj-4c5590c2bbd94af0855cbc2b5173c2b32020-11-25T03:26:25ZengGrowing ScienceDecision Science Letters1929-58041929-58122020-05-0110.5267/j.dsl.2020.5.006A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm Babak Nouri-MoghaddamMehdi Ghazanfari Mohammad Fathianhttp://www.growingscience.com/dsl/Vol9/dsl_2020_18.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Babak Nouri-Moghaddam
Mehdi Ghazanfari
Mohammad Fathian
spellingShingle Babak Nouri-Moghaddam
Mehdi Ghazanfari
Mohammad Fathian
A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm
Decision Science Letters
author_facet Babak Nouri-Moghaddam
Mehdi Ghazanfari
Mohammad Fathian
author_sort Babak Nouri-Moghaddam
title A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm
title_short A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm
title_full A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm
title_fullStr A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm
title_full_unstemmed A novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm
title_sort novel filter-wrapper hybrid gene selection approach for microarray data based on multi-objective forest optimization algorithm
publisher Growing Science
series Decision Science Letters
issn 1929-5804
1929-5812
publishDate 2020-05-01
url http://www.growingscience.com/dsl/Vol9/dsl_2020_18.pdf
work_keys_str_mv AT babaknourimoghaddam anovelfilterwrapperhybridgeneselectionapproachformicroarraydatabasedonmultiobjectiveforestoptimizationalgorithm
AT mehdighazanfari anovelfilterwrapperhybridgeneselectionapproachformicroarraydatabasedonmultiobjectiveforestoptimizationalgorithm
AT mohammadfathian anovelfilterwrapperhybridgeneselectionapproachformicroarraydatabasedonmultiobjectiveforestoptimizationalgorithm
AT babaknourimoghaddam novelfilterwrapperhybridgeneselectionapproachformicroarraydatabasedonmultiobjectiveforestoptimizationalgorithm
AT mehdighazanfari novelfilterwrapperhybridgeneselectionapproachformicroarraydatabasedonmultiobjectiveforestoptimizationalgorithm
AT mohammadfathian novelfilterwrapperhybridgeneselectionapproachformicroarraydatabasedonmultiobjectiveforestoptimizationalgorithm
_version_ 1724593032846639104

Similar Items