[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 at yale.edu]

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

 

Xiang Zhou, University of Michigan

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%2
C+us>  

219 Prospect Street

New Haven, CT 06511

 

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

 

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