Selection and classification of gene expression in autism disorder: use of a combination of statistical filters and a GBPSO-SVM algorithm

• Main Authors: Hameed, S. S., Hassan, R., Muhammad, F. F.
• Format: Article
• Language: English
• Published: Public Library of Science 2017
• Subjects: QA75 Electronic computers. Computer science
• 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

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...