Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm
In this work, gene expression in autism spectrum disorder (ASD) is analyzed with the goal of selecting the most attributed genes and performing classification. The objective was achieved by utilizing a combination of various statistical filters and a wrapper-based geometric binary particle swarm opt...
Saved in:
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science
2017
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/74849/1/RohayantiHassan2017_SelectionandClassificationofGeneExpression.pdf http://eprints.utm.my/id/eprint/74849/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033361187&doi=10.1371%2fjournal.pone.0187371&partnerID=40&md5=f9260d41165145f229a3cf157699635e |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Internet
http://eprints.utm.my/id/eprint/74849/1/RohayantiHassan2017_SelectionandClassificationofGeneExpression.pdfhttp://eprints.utm.my/id/eprint/74849/
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85033361187&doi=10.1371%2fjournal.pone.0187371&partnerID=40&md5=f9260d41165145f229a3cf157699635e