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:
    1. Statistical methods leveraging transcriptome information;
    2. Statistical methods integrating different types of genetic/genomic data;
    3. 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.

 

List of Participants

Samsiddhi Bhattacharjee National Institute of Biomedical Genomics, India
Jian Huang The University of Iowa, USA
Jialiang Li National University of Singapore, Singapore
Jin Liu National University of Singapore, Singapore
Bani K. Mallick Texas A&M University, USA
Indranil Mukhopadhyay Indian Statistical Institute, India
Hongyu Zhao Yale University, USA
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