Statistical Methods in Genetic/Genomic Studies

(03 Jan 2022–14 Jan 2022)

Organizing Committee

 

Co-chairs

  • Jin Liu (National University of Singapore)
 

Members

 

Contact Information

General Enquiries: ims(AT)nus.edu.sg
Scientific Aspects Enquiries: stalj(AT)nus.edu.sg

Overview

In this two-week program, we will focus on the advances in statistical genetics/genomics from both the applied and theoretical perspectives. The specific goal of the proposed workshop will be to equip researchers in genetic-related fields with the cutting-edge methods to better conduct genetic studies as biomedical research including genetic/genomic studies is one of the primary research areas supported by Singapore.

The themes will include the advances in statistical genetics and high-dimensional regression in genetics/genomics as follows:

  1. Integrative analysis of genetics/genomics:
    • Statistical methods leveraging transcriptome information;
    • Statistical methods integrating different types of genetic/genomic data;
    • Statistical methods used to make causal inference in genetic studies;
  2. The advance for high-dimensional regression in genetics/genomics.

Activities

Two-week integrated workshop with diverse topics.

 

TitleDateAbstract
Workshop3–14 January 2022View

Poster

     

List of speakers

• Veera Baladandayuthapani (University of Michigan, USA)
• Saonli Basu (University of Minnesota, USA)
• Samsiddhi Bhattacharjee (National Institute of Biomedical Genomics, India)
• Sounak Chakraborty (University of Missouri, USA)
• Lin Chen (University of Chicago, USA)
• Mengjie Chen (University of Chicago, USA)
• Cheng Cheng (St. Jude Children's Research Hospital, USA)
• Heather Cordell (Newcastle University, UK)
• Nancy Cox (Vanderbilt University, USA)
• Susmita Datta (University of Florida, USA)
• Eleanor Feingold (University of Pittsburgh, USA)
• Derek Gordon (Rutgers University, USA)
• Mayetri Gupta (University of Glasgow, UK)
• Lin Hou (Tsinghua University, China)
• Jeanine Houwing-Duistermaat (University of Leeds, UK)
• Li Hsu (Fred Hutchinson Cancer Research Center, USA)
• Jian Huang (University of Iowa, USA)
• Hongkai Ji (Johns Hopkins University, USA)
• Yuling Jiao (Wuhan University, China)
• Guolian Kang (St. Jude Children's Research Hospital, USA)
• Pei-Fen Kuan (Stony Brook University, USA)
• Suprateek Kundu (The University of Texas MD Anderson Cancer Center, USA)
• Mark van der Laan (University of California, Berkeley, USA)
• Hongzhe Lee (University of Pennsylvania, USA)
• Jessica Li (University of California, Los Angeles, USA)
• Yun Li (The University of North Carolina at Chapel Hill, USA)
• Qian Li (St. Jude Children's Research Hospital, USA)
• Xihong Lin (Harvard University, USA)
• Zhixiang Lin (The Chinese University of Hong Kong, China)
• Zhonghua Liu (The University of Hong Kong, China)
• Shuangge Ma (Yale University, USA)
• Arnab Kumar Maity (Pfizer Inc., USA)
• Partha P. Majumder (National Institute of Biomedical Genomics, India)
• Ramyar Molania (The Walter and Eliza Hall Institute of Medical Research, USA)
• Jeffrey S. Morris (University of Pennsylvania, USA)
• Michael Newton (University of Wisconsin–Madison, USA)
• Yang Ni (Texas A&M University, USA)
• Wei Pan (University of Minnesota, USA)
• Junmin Peng (St. Jude Children's Research Hospital, USA)
• Saumyadipta Pyne (University of Pittsburgh, USA)
• Agus Salim (University of Melbourne, Australia)
• Śaunak Sen (University of Tennessee Health Science Center, USA)
• Sanjay S. Shete (M. D. Anderson Cancer Center, USA)
• Xingjie Shi (East China Normal University, China)
• Peter Song (University of Michigan, USA)
• Terry Speed (The Walter and Eliza Hall Institute of Medical Research, USA)
• Mathew Stephens (The University of Chicago, USA)
• Anbupalam Thalamuthu (University of New South Wales, Australia)
• George Tseng (University of Pittsburgh, USA)
• Pei Wang (Icahn School of Medicine at Mount Sinai, USA)
• Yingying Wei (The Chinese University of Hong Kong, China)

Media

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