APBC2020

Tutorial

Title

AI and Network Bioinformatics for Multi-omics Data Analysis

Abstract

Sequencing technologies are routinely used to measure multi-omics data. However, integrative analysis of multi-omics data remains challenging due to the complex relationship among multi-omics data. In first part of this tutorial, we survey recent computational methods in Bayesian learning, network analysis, clustering analysis, tensor decomposition and deep learning. In the second part of the tutorial will show how some of the important tools can be used to perform multi-omics data analysis using The Cancer Genome Atlas data. It will include practical steps for acquiring multi-omics data, data pre-processing and downstream data analysis.
(* The tutorial will be carried out in a Linux environment. Please prepare a linux notebook or emulator beforehand.)

Speakers

Sun Kim (Seoul National University), Inuk Jung (Kyunpook National University)

Biography

Dr. Sun Kim is Professor in the School of Computer Science and Engineering, Director of Bioinformatics Institute, and an affiliated faculty for the Interdisciplinary Program in Bioinformatics at Seoul National University. Sun Kim is currently editors for the METHODS journal and International Journal of Data Mining and Bioinformatics, associate editor-in-chief for ACM/IEEE Transactions on Computational Biology and Bioinformatics, having served on the board of directors for ACM SIG Bioinformatics and for education for the IEEE Computer Society Technical Committee on Bioinformatics. Among many service activates in Korea, he served on Samsung Future Technology Committee for 2016-2018, a member of The National Science and Technology Council (NSTC) of the Korean Government for 2019-2020, President of Korea Artificial Intelligence Society (2016-2018) and Vice President of Korea Society of Bioinformatics and Systems Biology.

Dr. Inuk Jung is an Assistant Professor in the School of Computer Science and Engineering. Inuk Jung received the Ph.D degree in Bioinformatics from the Interdisciplinary Program in Bioinformatics, Seoul National University in 2017. His research interests are bioinformatics, machine learning and big data analysis. He currently investigates methods for integrating large scale multi-omics data and single-cell time-series data for identifying condition specific genes.