April 3, 2020
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1:26:42Now PlayingLecture 15 - Deep Learning for Single-cell Genomics
MIT 6.874 Lecture 15. Spring 2020
Course website
Lecture slides
Outline:
1. Why single cells, traditional approaches, scRNA-seq
2. Scaling up single-cell technologies: evolution of scRNA-seq
3. Dealing with noise, doublets, and other scRNA-seq issues
4. Computational challenges in scRNA-seq data analysis
5. Deep learning methods for scRNA-seq data analysis
6. Beyond scRNA-seq: scATAC-seq, multi-omics
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