[Sds-seminars] [Sds-announce] S&DS Seminar, Xiang Zhou, 2/3/25, KT 13th Floor, Rm. 1327, 12pm-1pm, "Statistical and Computational Methods for Genetic and Genomic Studies"

[Elizavette Torres]

[Department of Statistics and Data Science]<https://statistics.yale.edu/>   Department of Statistics and Data Science<https://statistics.yale.edu/>



Xiang Zhou, University of Michigan

[cid:image003.png at 01DB70AD.348CD6E0]Date: Monday, February 03, 2025

Time: 12:00PM to 1:00PM

Location: Kline Tower, 13th Floor, Rm. 1327 See map<http://maps.google.com/?q=219+Prospect+Street%2C+New+Haven%2C+CT%2C+06511%2C+us>

219 Prospect Street

New Haven, CT 06511



Webcast: https://yale.hosted.panopto.com/Panopto/Pages/Viewer.aspx?id=7b56c54c-e254-4cd4-bd46-b25a013eb54c





Statistical and Computational Methods for Genetic and Genomic Studies



Information and Abstract:

I will talk about a few statistical and computational methods we have developed over the past few years to give you a flavor of the type of work we do in our group. My talk will focus on two distinct application areas: genome-wide association studies and spatial multi-omics studies. Specifically, I will talk about Dirichlet process regression, or DPR, a non-parametric Bayesian regression method that flexibly and adaptively models the effect size distribution to enable accurate and robust polygenic risk prediction across a broad spectrum of genetic architectures. I will talk about SPARK, a method that allows for rigorous statistical analysis of spatial expression patterns in spatial transcriptomics, along with its non-parametric extension, SPARK-X, for scalable detection of spatially expressed genes in large spatial transcriptomic studies. If time allows, I will also talk about a scalable multi-ancestry variational fine-mapping method, MESuSiE, that accounts for the diverse linkage disequilibrium pattern observed in different ancestries while explicitly modeling both shared and ancestry-specific causal SNPs; as well as a spatially informed cell type deconvolution method, CARD, that leverages cell type specific expression information from single cell RNA sequencing for the deconvolution of spatial transcriptomics.



Lunch at 11:30am in room 1307
Talk at 12:00-1:00pm in room 1327A



For more details and upcoming events visit our website at https://statistics.yale.edu/calendar.



Department of Statistics and Data Science

Yale University
Kline Tower

219 Prospect Street
New Haven, CT 06511

https://statistics.yale.edu/


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