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Stanford Bio-X Frontiers in Interdisciplinary Biosciences Seminar, "Understanding How Environment Influences Cells through Paired Images and Gene Expression Data"Jan 16, 2020 (Thu) | 4:00 PM -5:00 PM
James H. Clark Center, 318 Campus Drive, Seminar Room S360
: Stanford, CA
Refreshments to be served at 3:45 PM; seminar begins at 4:00 PM. A central goal of single cell genomics is to understand how cells interact and influence each other, and how tissues grow and respond to interventions. This talk will give examples of how we can use machine learning approaches to quantify relationships between cells. First, using pathology images and paired RNA-seq data, I show how canonical correlation analysis models can be used to find image morphology that covaries with gene expression. Second, I describe a method for dimension reduction that allows us to augment disassociated single cell RNA-seq data with spatial information. Using these data sets, we begin to quantify how cellular neighbors influence each other, and to predict how tissues might respond to interventions. Department: BioX Contact: Cici Huber | 6507257472 | chuber@stanford.edu Presenter(s):
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