Machine Learning for Genomics Fall 2020

Machine Learning for Genomics Fall 2020

Manolis Kellis via YouTube Direct link

6.047/6.878 Lecture 1 - Introduction (Fall 2020)

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1 of 22

6.047/6.878 Lecture 1 - Introduction (Fall 2020)

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Machine Learning for Genomics Fall 2020

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  1. 1 6.047/6.878 Lecture 1 - Introduction (Fall 2020)
  2. 2 6.047/6.878 Lecture 2 - Dynamic Programming (Fall 2020)
  3. 3 6.047/6.878 Lecture 3 - Local alignment Hashing BLAST alignmentScores (Fall 2020)
  4. 4 6.047/6.878 Lecture 4 - HMMs 1 (Fall 2020)
  5. 5 6.047/6.878 Lecture 5 - HMMs 2 (Fall 2020)
  6. 6 6.047/6.878 Lecture 6 - Expression analysis Clustering Classification (Fall 2020)
  7. 7 6.047/6.878 Lecture 7 - RNA folding, RNA world, RNA structures (Fall 2020)
  8. 8 6.047/6.878 Lecture 8 - Epigenomics 1 (Fall 2020)
  9. 9 6.047/6.878 Lecture 9 - Epigenomics 2 and 3D genome (Fall 2020)
  10. 10 6.047/6.878 Lecture 10 - Regulatory Genomics and Motifs (Fall 2020)
  11. 11 6.047/6.878 Lecture 11 - Networks (Fall 2020)
  12. 12 6.047/6.878 Lecture 12 - Deep Learning (Fall 2020)
  13. 13 6.047/6.878 Lecture 13 - Population Genetics (Fall 2020)
  14. 14 6.047/6.878 Lecture 14 - GWAS and Disease Dissection (Fall 2020)
  15. 15 6.047/6.878 Lecture 15 - eQTLs expression Quantitative Trait Loci (Fall 2020)
  16. 16 6.047/6.878 Lecture16 - Systems Genetics and Heritability (Fall 2020)
  17. 17 6.047/6.878 Lecture17 - Comparative Genomics (Fall 2020)
  18. 18 6.047/6.878 Lecture 18 - Genome Evolution (Fall 2020)
  19. 19 6.047/6.878 Lecture 19 - Phylogenetics (Fall 2020)
  20. 20 6.047/6.878 Lecture 20 - Phylogenomics (Fall 2020)
  21. 21 6.047/6.878 Lecture 21 - Cancer Genomics (Fall 2020)
  22. 22 MIT Deep Learning Genomics - Lecture 15 - Single-cell genomics (Spring 2020)

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