Research Interest: Computational Intelligence for -
1) Computational Neuroscience, Functional Connectivity Study, Autism Spectrum Disorder
2) Gene Expression, Cancer Expression Data, Pathway Analysis
"Convolutional Autoencoder Producing Latent Representation For Functional Connectivity Study of Autism Spectrum Disorder"
Undergraduate Student Researcher @ Brain Mapping Unit, Department of Psychiatry, University of Cambridge
September 2019 - January 2020
Director of Research: Dr. John Suckling
"Elastic SCAD SVM Cluster For The Selection of Informative Functional Connectivity in Autism Spectrum Disorder Classification"
Undergraduate Final Year Project @ Universiti Teknologi Malaysia
February 2019 - August 2020
Supervisor: Dr. Weng Howe Chan
S.Y. Yap and W.H. Chan (2021) ‘Elastic SCAD SVM Cluster for The Selection of Significant Functional Connectivity in Autism Spectrum Disorder Classification’, Academia of Fundamental Computing Research, 1(2), pp. 1–8. Available at: http://excelligentacademia.com/journal/index.php/AFCR/article/view/49.
"A Penalized SVM based cluster method for identifying significant region of interests in fMRI data. "
Ref No: L Y2020006347
Funding Type: Fundamental Research Grant Scheme
Funding Source: Ministry of Education, Government
© 2021 Universiti Teknologi Malaysia - All Rights Reserved.
"Poster: Elastic SCAD SVM Cluster For The Selection of Informative Functional Connectivity in Autism Spectrum Disorder Classification"
Evaluation: Strong Accept
The 19th International Conference On Bioinformatics (InCob 2020)
Organizer: Asia Pacific Bioinformatics Network (APBioNet)