Machine Learning for Genomics Fall 2020
Offered By: Massachusetts Institute of Technology via YouTube
Course Description
Overview
Fall 2020 Prof. Manolis Kellis Computational Biology: Genomes, Networks, Evolution, Health Machine Learning in Genomics: Dissecting the circuitry of Human Disease
Syllabus
6.047/6.878 Lecture 1 - Introduction (Fall 2020).
6.047/6.878 Lecture 2 - Dynamic Programming (Fall 2020).
6.047/6.878 Lecture 3 - Local alignment Hashing BLAST alignmentScores (Fall 2020).
6.047/6.878 Lecture 4 - HMMs 1 (Fall 2020).
6.047/6.878 Lecture 5 - HMMs 2 (Fall 2020).
6.047/6.878 Lecture 6 - Expression analysis Clustering Classification (Fall 2020).
6.047/6.878 Lecture 7 - RNA folding, RNA world, RNA structures (Fall 2020).
6.047/6.878 Lecture 8 - Epigenomics 1 (Fall 2020).
6.047/6.878 Lecture 9 - Epigenomics 2 and 3D genome (Fall 2020).
6.047/6.878 Lecture 10 - Regulatory Genomics and Motifs (Fall 2020).
6.047/6.878 Lecture 11 - Networks (Fall 2020).
6.047/6.878 Lecture 12 - Deep Learning (Fall 2020).
6.047/6.878 Lecture 13 - Population Genetics (Fall 2020).
6.047/6.878 Lecture 14 - GWAS and Disease Dissection (Fall 2020).
6.047/6.878 Lecture 15 - eQTLs expression Quantitative Trait Loci (Fall 2020).
6.047/6.878 Lecture16 - Systems Genetics and Heritability (Fall 2020).
6.047/6.878 Lecture17 - Comparative Genomics (Fall 2020).
6.047/6.878 Lecture 18 - Genome Evolution (Fall 2020).
6.047/6.878 Lecture 19 - Phylogenetics (Fall 2020).
6.047/6.878 Lecture 20 - Phylogenomics (Fall 2020).
6.047/6.878 Lecture 21 - Cancer Genomics (Fall 2020).
MIT Deep Learning Genomics - Lecture 15 - Single-cell genomics (Spring 2020).
Taught by
Manolis Kellis
Tags
Related Courses
Algorithms: Design and Analysis, Part 2Stanford University via Coursera Conception et mise en œuvre d'algorithmes.
École Polytechnique via Coursera Algorithmic Toolbox
University of California, San Diego via Coursera مربع الأدوات الخوارزمية
University of California, San Diego via Coursera Algorithmic Thinking (Part 2)
Rice University via Coursera