Single Cell Genomics - Lecture 10 - Deep Learning in Life Sciences (Spring 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 L...
Latest slides and course today: compbio.mit.edu/6874
Spring 2021 slides and materials: 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

[@humanoid1960]

Thank you for putting your lectures on the net, they are diamonds, crystal clear !!!! - big thank you from Australia

[@erguntiryaki1519]

Thank you so much for making this wonderful course freely available.