title: Computerized system for recognition of autism on the basis of gene expression microarray data.
abstract: The aim of this paper is to provide a means to recognize a case of autism using gene expression microarrays. The crucial task is to discover the most important genes which are strictly associated with autism. The paper presents an application of different methods of gene selection, to select the most representative input attributes for an ensemble of classifiers. The set of classifiers is responsible for distinguishing autism data from the reference class. Simultaneous application of a few gene selection methods enables analysis of the ill-conditioned gene expression matrix from different points of view. The results of selection combined with a genetic algorithm and SVM classifier have shown increased accuracy of autism recognition. Early recognition of autism is extremely important for treatment of children and increases the probability of their recovery and return to normal social communication. The results of this research can find practical application in early recognition of autism on the basis of gene expression microarray analysis.
authors.affiliation: Military University of Technology, Institute of Electronic Systems, Warsaw, Kaliskiego 2, Poland. Electronic address: tlatkowski@wat.edu.pl.
authors.forename: Tomasz
authors.initials: T
authors.lastname: Latkowski
authors.affiliation: Military University of Technology, Institute of Electronic Systems, Warsaw, Kaliskiego 2, Poland; Warsaw University of Technology, Institute of the Theory of Electrical Engineering, Measurement and Information Systems, Warsaw, Koszykowa 75, Poland. Electronic address: sto@iem.pw.edu.pl.
authors.forename: Stanislaw
authors.initials: S
authors.lastname: Osowski
mesh_terms: D000328:Adult; D000465:Algorithms; D001321:Autistic Disorder / Q000175:diagnosis / Q000235:genetics / Q000378:metabolism; D002648:Child; D002675:Child, Preschool; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005786:Gene Expression Regulation; D006801:Humans; D008297:Male; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D010363:Pattern Recognition, Automated / Q000379:methods*
keywords: Ensemble of classifiers; Gene expression microarray; Gene selection; Random forest; SVM