Learn Deep Learning in Life Sciences with Prof. Manolis Kellis from MIT! In this spring 2021 course, you will learn about AI, ML, machine learning foundations, Convolutional Neural Networks CNNs, Recurrent Neural Networks RNNs, Graph Neural Networks GNNs, Long Short Term Memory LSTMs, interpretable deep learning, generative models, Adversarial Networks GANs, Variational Autoencoders VAEs, representation learning, deep learning for regulatory genomics, gene expression prediction, single cell genomics, dimensionality reduction, disease circuitry dissection GWAS, GWAS mechanism, systems genetics, AI for drug design, deep learning for protein folding, machine learning for pathology, deep learning for Cell Imaging Segmentation, deep learning image registration and analysis, electronic health records, and deep learning and neurosciences.
Overview
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
