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

Lecture 14 - RNA, PCA, t-SNE, Embeddings (Spring20) MIT 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