Friday, December 3, 2021 - 13:00 to 14:30
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science is pleased to present…
MSc Thesis Proposal by: Sheena Hora
Date: Friday December 3,2021
Time: 1:00pm – 2:30pm
Meeting URL: https://us06web.zoom.us/j/84942796720?from=addon
Passcode: If interested in attending this event, contact the Graduate Secretary at csgradinfo@uwindsor.ca with sufficient notice before the event to obtain the passcode
Abstract:
Rapid advances in single-cell technologies have given complex biological systems a new perspective. Researchers can identify potential information such as gene regulatory links, differential expressions, and developmental trajectories of different cell lineages using single-cell studies at the cellular and gene levels. Identification of cell-cell interactions is one of the significant areas of research. Cell-cell interactions regulate organismal development, homeostasis, and single-cell functions. The disease occurs when cells do not interact properly or decode molecular messages improperly. Thus, identifying and quantifying intercellular signaling pathways has become a common analysis carried out across a variety of fields. The recent advances in RNA sequencing technologies, have enabled routine analyses of intercellular signaling from bulk and single-cell data sets. For multicellular organisms, cell-to-cell communication is critical. We introduce a novel pipeline to identify cell-cell interactions in single cell RNA-seq data using graph convolutional networks. Pipeline steps include pre-processing of the data, followed by cell graph construction, and then identifying cell-cell interactions using graph convolutional networks.
Keywords: single cell RNA-seq, Graph Convolutional Networks, cell-cell interactions
MSc Thesis Committee:
Internal Reader: Dr. Jianguo Lu
External Reader: Dr. Ning Zhang
Advisor: Dr. Luis Rueda
MSc Thesis Proposal Announcement
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca (working remotely)