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X-WR-CALNAME:Department of Bioengineering
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X-WR-CALDESC:Events for Department of Bioengineering
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DTSTART:20230101T000000
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DTSTART;TZID=UTC:20230703T160000
DTEND;TZID=UTC:20230703T170000
DTSTAMP:20260408T010911
CREATED:20230604T223620Z
LAST-MODIFIED:20230605T030515Z
UID:4393774-1688400000-1688403600@be.iisc.ac.in
SUMMARY:Seminar by Dr. Sudin Bhattacharya titled Deep Generative Learning of Single Cell Gene Expression to predict Dose-Dependent Chemical Perturbations
DESCRIPTION:The Centre for BioSystems Science and Engineering (BSSE) cordially invites you to attend a departmental seminar. \nSpeaker: Dr. Sudin Bhattacharya \nDepartment of Biomedical Engineering\, Department of Pharmacology and Toxicology \nInstitute for Quantitative Health Science & Engineering \nMichigan State University \nAbstract:  \nSingle cell RNA-sequencing allows us to study cell-type specificity and heterogeneity of biological responses to chemical perturbations. However\, experimentally testing all relevant combinations of cell types\, chemicals\, and doses is a near-impossible task. A deep learning formalism called variational autoencoders (VAEs) has been shown to be effective in computationally predicting single-cell gene expression perturbations. We have developed single cell Variational Inference of Dose-Response (scVIDR)\, a VAE-based tool to predict the trajectory of cellular dose-response\, which achieves better dose-response predictions than existing models. We show that scVIDR can predict dose-dependent gene expression changes across cell types and interpret the latent space of the autoencoder model in terms of biological pathways.
URL:https://be.iisc.ac.in/event/seminar-by-dr-sudin-bhattacharya-titled-deep-generative-learning-of-single-cell-gene-expression-to-predict-dose-dependent-chemical-perturbations/
LOCATION:CES Seminar Hall\, CES Seminar Hall\, 3rd Floor\, Biological Science Building
CATEGORIES:Seminar
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