Statistical genetics is concerned with the development and application of statistical methods for drawing inferences from genetic data. This workshop presents progresses that have been made in recent years as well as challenging problems the field is facing. It offers an excellent opportunity for researchers and students to exchange ideas and to learn from each other.
Below is an incomplete list of speakers:
Yuan-Chin Ivan Chang, Academian Sinica
I-Shou Chang, National Health Research Institutes
Yuan-Chin Ivan Chang, Academia Sinica
Chen-Hsin Chen, Academian Sinica
Yunxin Fu, University of Texas
Yueqing Hu, Fudan University
Haipeng Li, CAS-MPG Partner Institute
David O. Siegmund, Stanford University
Weidong Tian, Fudan University
Hsin-Chou Yang, Academian Sinica
| Conference Schedule |
November 18 9:30-10:15 Yunxin Fu, University of Texas
Inference on the distribution of mutations during germline development 10:15-11:00 Hsin-Chou Yang, Academia Sinica
Deciphering medical genomics and population genomics using single nucleotide polymorphisms and other types of genetic markers 11:00-11:10 Tea Break 11:10-11:55 David O. Siegmund, Stanford University
Detection of genomic signals by resequencing 14:00-14:45 I-Shou Chang, National Health Research Institutes
Looking for functional content of SNPs associated with cancer susceptibility 14:45-15:30 Weidong Tian, Fudan University
Gene set analysis, a network-based gene-weighting approach 15:30-15:40 Tea Break 15:40-16:25 Yuan-Chin Ivan Chang, Academia Sinica
A general AUC-type measure and biomarkers selection 16:25-17:10 Chen-Hsin Chen, Academia Sinica
Heteroscedastic mixture regression models for disease susceptibility and cure November 19 9:30-10:15 Haipeng Li, CAS-MPG Partner Institute
Recent positive selection? Or false positives? 10:15-11:00 Yueqing Hu, Fudan University
Detection of rare variants for multiple ordinal traits in association study 11:00-11:10 Tea Break 11:10-11:55 TBA |
