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Massachusetts Institute of Technology

Deep Learning in Life Sciences - Spring 2021

Massachusetts Institute of Technology via YouTube

Overview

MIT Course 6.874/6.802/HST.506/20.390/20.490 Prof. Manolis Kellis

Syllabus

Deep Learning in Life Sciences - Lecture 01 - Course Intro, AI, ML (Spring 2021).
Machine Learning Foundations - Deep Learning in Life Sciences Lecture 02 (Spring 2021).
CNNs Convolutional Neural Networks - Deep Learning in Life Sciences - Lecture 03 (Spring 2021).
Recurrent Neural Networks RNNs, Graph Neural Networks GNNs, Long Short Term Memory LSTMs.
Interpretable Deep Learning - Deep Learning in Life Sciences - Lecture 05 (Spring 2021).
Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning.
Regulatory Genomics - Deep Learning in Life Sciences - Lecture 07 (Spring 2021).
Deep Learning for Regulatory Genomics - Regulator binding, Transcription Factors TFs.
Gene Expression Prediction - Lecture 09 - Deep Learning in Life Sciences (Spring 2021).
Single Cell Genomics - Lecture 10 - Deep Learning in Life Sciences (Spring 2021).
Dimensionality Reduction - Lecture 11 - Deep Learning in Life Sciences (Spring 2021).
Disease Circuitry Dissection GWAS - Lecture 12 - Deep Learning in Life Science (Spring 2021).
GWAS mechanism - Lecture 13 - Deep Learning in Life Sciences (Spring 2021).
Systems Genetics - Lecture 14 - Deep Learning in Life Sciences (Spring 2021).
Graph Neural Networks - Lecture 15 - Learning in Life Sciences (Spring 2021).
AI for Drug Design - Lecture 16 - Deep Learning in the Life Sciences (Spring 2021).
Deep Learning for Protein Folding - Lecture 17 - MIT Deep Learning in Life Sciences (Spring 2021).
Machine Learning for Pathology - Lecture 19 - MIT Deep Learning in the Life Sciences (Spring 2021).
Deep Learning for Cell Imaging Segmentation - Lecture 20 - MIT ML in Life Sciences (Spring 2021).
Deep Learning Image Registration and Analysis - Lecture 21 - MIT ML in Life Sciences (Spring 2021).
Electronic health records - Lecture 22 - Deep Learning in Life Sciences (Spring 2021).
Deep Learning and Neuroscience - Lecture 23 - Deep Learning in Life Sciences (Spring 2021).

Taught by

Manolis Kellis

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