Manolis Kellis
@manoliskellis1·24.9K subscribers·255 videos
MIT Deep Learning Genomics - Lecture 14 - Deep Learning for Gene Expression Analysis (Spring20)
Posted
March 31, 2020
Views
5,509
Likes
93
Comments
4
Engagement
March 31, 2020
5,509
93
4
1.76%
Every word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
See what was published immediately before and after this episode.
1:21:31Now PlayingLecture 14 - RNA, PCA, t-SNE, Embeddings (Spring20)
MIT 6.874 Lecture 14. Spring 2020
Course website
Lecture slides
Today: Predicting gene expression and splicing
0. Review: Expression, unsupervised learning, clustering
1. Up-sampling: predict 20,000 genes from 1000 genes
2. Compressive sensing: Composite measurements
3. DeepChrome+LSTMs: predict expression from chromatin
4. Predicting splicing from sequence: 1000s of features
5. Unsupervised deep learning: Restricted Boltzmann mach.
6. Multi-modal programs: Expr+DNA+miRNARMBs Liang
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.
