서울대학교 생물정보연구소와 생물정보학 협동과정 공동 주최로 세미나를 아래와 같이 열고자 하오니, 많은 참여 바랍니다.

일시: 2018년 5월 24일 목요일 오후 5시

연사: 이슬(서울대학교)

장소: 서울대학교 25동 411호

TITLE: Tensor Based Multi-platform Bio-data Analysis

ABSTRACT: Tensors, multi-mode arrays, are natural representations of multi-mode data, such as miRNA, methylation, gene expression, and mutation information of cancer patients. Just as non-negative matrix factorization (NMF) methods have been used to analyze and profile the uni-mode genome data, tensor decomposition methods can be used to analyze the multi-mode data. However, there are several challenges that have to be solved in order to apply the tensor decomposition method to multi-mode bio-data. Data scalability, missing data, and factor matrix interpretability are the three challenges.

In this talk, I’ll first introduce NMF based somatic mutation profiling method and motivate the need for tensor-based multi-platform data profiling. Then the tensor-based analysis will start with a brief overview of tensor analysis followed by a description of our proposed methods that address scalability and missing data problems and enhances interpretability. I’ll finish by showing how these methods can be used to analyze multi-platform bio-data.

EDUCATION AND TRAINING

Bachelor of Science, Computer Science, Korea University, Seoul, Republic of Korea (Mar. 2000 – Feb. 2005)

Ph. D., Computer Science, Purdue University, West Lafayette, IN (Aug. 2005 – Aug. 2010)

Research Assistant, Bioinformatics Laboratory (P.I. Dr. Daisuke. Kihara) Purdue University, West Lafayette, IN (Aug. 2006 – Aug. 2010)

Postdoctoral Research Associate, Bioinformatics Laboratory (P.I. Dr. Daisuke. Kihara) Purdue University, West Lafayette, IN (Sept. 2010 – Aug. 2011)

Research Staff Member, Future IT Research Center, Samsung Advanced Institute of Technology (Sept. 2011 – Aug. 2012)

Assistant Professor, BioData Mining Lab, Department of Computer Science, State University of New York Korea (Sept. 2012 – Feb. 2018)

BK Associate Professor, Department of Computer Science and Engineering, Seoul National University (Mar. 2018 – Present)

SELECTED PUBLICATION

PI: [2015.11-2018.10] Basic Science Research Program, “Development of Multi-layer Network Analysis Methods for Integrative Analysis Algorithms of Bio-Clinical Data” funded through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (NRF-2015R1C1A2A01055739).

PI: [2015.06- 2018.02] Global ATC Program “Development of business intelligence platform service which enables a non-expert to realize ‘Data Processing and User Interface’ within 3 seconds in Petabyte level based on 0.5 billion data (10053204)” funded by Korea Evaluation Institute of Industrial Technology, Republic of Korea.

Co-PI: [2015.03-2015.08] “Development of biomedical data network analysis technology based on high performance computing for dementia researches (K-15-L03-C02-S01)” funded by Korea Institute of Science and Technology Information.

PI: [2012.06-2015.05] Basic Science Research Program, funded through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2013005259)

Co-PI: [2012.09-2018.02] IT Consilience Creative Program (NIPA-2013-H0203-13-1001), supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, supervised by the NIPA (National IT Industry Promotion Agency)

Co-PI: [2012.09-2014.08] Global Research Network Program funded through Ministry of Education and Science Technology, Republic of Korea: “Development of RAVAT: the tool that uncovers the roles of rare variants and their functions on common diseases with next generation sequencing data.” (20120910)

서울대학교 생물정보연구소

생물정보학 협동과정 공동주최