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UID:20261029T035711EDT-9656fvcX6u@132.216.98.100
DTSTAMP:20261029T075711Z
DESCRIPTION:Zhana Duren\, PhD\n\nAssociate Professor\n	Department of Medical
  & Molecular Genetics |\n	Indiana University School of Medicine\n\nWHEN: We
 dnesday\, February 5\, 2025\, from 3:30 to 4:30 p.m.\n	WHERE: Hybrid | 2001
  McGill College Avenue\, Room 1140\; Zoom\n	NOTE: Zhana Duren will be prese
 nting from Indianapolis\n\nAbstract\n\nGene regulatory networks (GRNs) are
  fundamental to understanding cellular processes and human disease. From a
  mathematical perspective\, inferring GRNs presents a challenging inverse 
 problem. Recent advancements in single-cell and spatial multi-omics techno
 logies offer unprecedented opportunities to unravel the complexities of th
 ese networks. This talk will present recent computational methods develope
 d by our group to address the unique challenges of GRN inference from thes
 e rich\, high-dimensional\, multi-modalities datasets.\n\nSpeaker Bio\n\nZ
 hana Duren\, Ph.D\, is an Associate Professor of Medical and Molecular Gen
 etics at the Indiana University School of Medicine. Dr. Duren’s research f
 ocuses on development of computational methods and bioinformatics tools fo
 r integration of multi-omics and gene regulatory networks. The long-term r
 esearch goal is to answer the key scientific question” How non-coding gene
 tic variant act through context specific gene regulatory network to influe
 nce phenotype”. For more information\, please visit the Duren Lab Website:
  https://durenlab.com/.\n
DTSTART:20250205T203000Z
DTEND:20250205T213000Z
SUMMARY:Computational Methods for Inference of Gene Regulatory Networks fro
 m spatial and single cell multi-omits
URL:https://www.mcgill.ca/epi-biostat-occh/channels/event/computational-met
 hods-inference-gene-regulatory-networks-spatial-and-single-cell-multi-omit
 s-362771
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