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DESCRIPTION:From Spatial Coordinates to Gene Discovery: Methodological Expl
 orations in Spatial Transcriptomics\n\nQihuang Zhang\, 51³Ô¹ÏÍø\n
 	Tuesday October 1\, 12-1pm\n	Zoom Link: https://mcgill.zoom.us/j/8991415082
 0\n	In Person: 550 Sherbrooke\, Room 189\n	\n	Abstract: Spatial transcriptomi
 cs data have revolutionized the profiling of gene expression by incorporat
 ing spatial context\, which offers a unique opportunity to study both the 
 spatial organization of cells and their gene expression within tissues sim
 ultaneously. In this talk\, I will provide an overview of statistical and 
 machine learning methods that enhance our ability to extract meaningful in
 sights from spatial transcriptomics data. Specifically\, I will present ap
 proaches that leverage the different aspects of spatial locations and gene
  expression to address two key problems: cell mapping and the identificati
 on of important genes. First\, I will discuss methods that focus on spatia
 l location information to facilitate cell mapping. In particular\, I will 
 introduce CeLEry\, a machine-learning method designed to predict spatial c
 oordinates for single-cell RNA-seq data using spatial transcriptomics as a
  reference. This method improves our understanding of cellular arrangement
  within tissues and its relation to Alzheimer’s disease progression. The s
 econd approach focuses on gene identification\, where we employ Bayesian h
 ierarchical models to identify genes specific to disease status or associa
 ted with high cell densities. By identifying these key genes\, we gain val
 uable insights into the biological mechanisms driving disease progression.
 \n
DTSTART:20241001T160000Z
DTEND:20241001T170000Z
SUMMARY:QLS Seminar Series - Qihuang Zhang
URL:/qls/channels/event/qls-seminar-series-qihuang-zha
 ng-359288
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