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UID:20250918T182340EDT-5560T2Dfs0@132.216.98.100
DTSTAMP:20250918T222340Z
DESCRIPTION:Integration of multi-omics data for the discovery of novel regu
 lators that modulate biological processes\n\nJun Ding\n\n聽\n\n\n	Abstract:
 \n\n\nThe cellular states in various biological processes such as cell dif
 ferentiation\, disease progression\, and treatment response are often enor
 mously complex and thus hard to be profiled with unimodal profiling (e.g.\
 , transcriptome). Although those unimodal measurements had brought success
  for studies in a large variety of studies\, the incomplete (and often mis
 leading) unimodal cellular profiling could lead to\n	biased and inaccurate 
 conclusions. With the development of biotechnologies\, the availability of
  multi-omics data (bulk or single-cell) is ever-increasing. The rapid-accu
 mulating multi-omics data offers unprecedented opportunities to accurately
  decode the cellular states in biological process and thus could derive a 
 deep understanding of the change of the cellular states\, crucial for find
 ing biomarkers and therapeutic intervention strategies. In this talk\, we 
 will discuss a few multimodal methods that we developed to integrate multi
 -omics data for the discovery of novel regulators for multiple biological 
 processes. Many of the novel predictions from the multimodal methods were 
 experimentally validated and had brought new understandings of the underly
 ing mechanisms for several diseases. I will also discuss how a potential n
 ovel COVID19 drug is discovered from such a multi-omics data integration a
 nalysis.\n\n\n	Speaker\n\n\nDr. Jun Ding is an Assistant Professor from the
  Department of Medicine at 9I制作厂免费. His current research interes
 ts include applied machine learning in bioinformatics\, the single-cell da
 ta analysis\, computational models for the biomedical data.\n\nhttps://mcg
 ill.zoom.us/j/83436686293?pwd=b0RmWmlXRXE3OWR6NlNIcWF5d0dJQT09\n\nMeeting 
 ID: 834 3668 6293\n\nPasscode: 12345\n\n\n	\n		聽\n	\n\n
DTSTART:20220211T203000Z
DTEND:20220211T213000Z
SUMMARY:Jun Ding (9I制作厂免费)
URL:/mathstat/channels/event/jun-ding-mcgill-universit
 y-337509
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