Single Cell Genomics - Lecture 10 - Deep Learning in Life Sciences (Spring 2021)
Manolis Kellis Manolis Kellis
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 Published On Mar 28, 2021

MIT 6.874/6.802/20.390/20.490/HST.506 Spring 2021 Prof. Manolis Kellis
Guest lecturers: Fabian Theis, Romain Lopez
Deep Learning in the Life Sciences / Computational Systems Biology
Playlist:    • MIT Deep Learning in Life Sciences - ...  
Latest slides and course today: http://compbio.mit.edu/6874
Spring 2021 slides and materials: http://mit6874.github.io/

0:00 Introduction
1:10 Single cells
8:40 Modern scRNA-seq technologies
20:27 Other single cell assays
24:32 Deep representation learning in single cell genomics
34:40 scGen: predicting single-cell perturbation effects
42:08 Human cell atlas
46:23 Deep generative models for single-cell transcriptomics
1:04:26 Single-cell Variational Inference
1:13:00 Probabilistic annotation
1:15:45 Information constraints on Auto-Encoding Variational Bayes
1:19:00 Decision-making with Auto-Encoding Variational Bayes
1:25:24 Open-source scientific research

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