[Sds-seminars] S&DS Seminar - Zongming Ma, 10/10, 4pm-5pm @ DL 220, "Matching and integration of datasets with low-rank signals and applications in single-cell data analysis"

elizavette.torres at yale.edu elizavette.torres at yale.edu
Thu Oct 6 09:18:14 EDT 2022


In-Person seminars will be held at Dunham Lab, 10 Hillhouse Ave., Room 220,
with an option of remote participation via zoom.

3:30pm -  Pre-talk meet & greet, DL 228.  

 

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

Zongming Ma, University of Pennsylvania



Date: Monday, October 10, 2022

Talk Time: 4:00PM to 5:00PM

Meeting Location: Dunham Lab. Room 220
<http://maps.google.com/?q=10+Hillhouse+Avenue%2C+Rm.+220%2C+New+Haven%2C+CT
%2C+06511%2C+us> see map 

10 Hillhouse Avenue

New Haven, CT 06511

 <http://www-stat.wharton.upenn.edu/~zongming/> Website

OR

Zoom meeting link:
https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09  /
Password: 24

 

 

 

Title: Matching and integration of datasets with low-rank signals and
applications in single-cell data analysis

 

Information and Abstract: 

We study one-way matching of a pair of datasets with low-rank signals. Under
a stylized model, we first derive information-theoretic limits of matching
under a mismatch proportion loss. We then show that linear assignment with
projected data achieves fast rates of convergence and sometimes even rate
optimality for this task. Built upon this theoretical understanding, we
propose a new matching algorithm, Matching with pARtIal Overlap (MARIO),
that takes into account both shared and distinct features in related
datasets. MARIO accurately matches and integrates data from different
single-cell methods. As an exemplary application, it robustly matched tissue
macrophages identified from COVID-19 lung autopsies via CODEX imaging to
macrophages recovered from COVID-19 bronchoalveolar lavage fluid via
CITE-seq to provide evidence for orchestrated immune responses within the
lung microenvironment of COVID patients. 

 

Join from PC, Mac, Linux, iOS or Android:
<https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09>
https://yale.zoom.us/j/92411077917?pwd=aXhnTnFGRXFoaTVDczNjeFFKeWpTQT09
Password: 24
Or Telephone:203-432-9666 (2-ZOOM if on-campus) or 646 568 7788
Meeting ID: 924 1107 7917


 


For more details and upcoming events visit our website at
<http://statistics.yale.edu/> http://statistics.yale.edu/. 


Department of Statistics and Data Science


Yale University
24 Hillhouse Avenue
New Haven, CT 06511

t 203.432.0666
f 203.432.0633

 

 

 

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