Identification of Predominant Genes that Causes Autism Using MLP

Title

Identification of Predominant Genes that Causes Autism Using MLP

Creator

Joseph A.; Nizar Banu P.K.

Description

Autism or autism spectrum disorder (ASD) is a developmental disorder comprising a group of psychiatric conditions originating in childhood that involve serious impairment in different areas. This paper aims to detect the principal genes which cause autism. Those genes are identified using a multi-layer perceptron network with sigmoid as an activation function. The multi-layer perceptron model selected sixteen genes through different feature selection techniques and also identified a combination of genes that caused the disease. From the background study, it is observed that CAPS2 and ANKUB1 are the major disease-causing genes but the accuracy of the model is less. The selected 16 genes along with CAPS2 and ANKUB1 produce more accuracy than the existing model which proved 95% prediction rate. The analysis of the proposed model shows that the combination of the predicted genes along with CAPS2 and ANKUB1 will help to identify autism at an early stage. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Source

Smart Innovation, Systems and Technologies, Vol-282, pp. 269-279.

Date

2022-01-01

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

ASD; Autism; Autism spectrum disorder; Gene selection; MLP

Coverage

Joseph A., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Nizar Banu P.K., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India

Rights

Restricted Access

Relation

ISSN: 21903018; ISBN: 978-981169668-8

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-16-9669-5_25

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128962189&doi=10.1007%2f978-981-16-9669-5_25&partnerID=40&md5=cce3cf8bb56d8f9b9505648a299314b0