MIT Deep Learning Genomics - Lecture 14 - Deep Learning for Gene Expression Analysis (Spring20)

Lecture 14 - RNA, PCA, t-SNE, Embeddings (Spring20) MIT 6.874 Lecture 14. Spring 2020 Course website: https://mit6874.github.io/ Lecture slides: https://mit6874.github.io/assets/sp20... 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