Deep Learning in Life Sciences - Spring 2021

Deep Learning in Life Sciences - Spring 2021

Manolis Kellis via YouTube Direct link

Disease Circuitry Dissection GWAS - Lecture 12 - Deep Learning in Life Science (Spring 2021)

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12 of 22

Disease Circuitry Dissection GWAS - Lecture 12 - Deep Learning in Life Science (Spring 2021)

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Deep Learning in Life Sciences - Spring 2021

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  1. 1 Deep Learning in Life Sciences - Lecture 01 - Course Intro, AI, ML (Spring 2021)
  2. 2 Machine Learning Foundations - Deep Learning in Life Sciences Lecture 02 (Spring 2021)
  3. 3 CNNs Convolutional Neural Networks - Deep Learning in Life Sciences - Lecture 03 (Spring 2021)
  4. 4 Recurrent Neural Networks RNNs, Graph Neural Networks GNNs, Long Short Term Memory LSTMs
  5. 5 Interpretable Deep Learning - Deep Learning in Life Sciences - Lecture 05 (Spring 2021)
  6. 6 Generative Models, Adversarial Networks GANs, Variational Autoencoders VAEs, Representation Learning
  7. 7 Regulatory Genomics - Deep Learning in Life Sciences - Lecture 07 (Spring 2021)
  8. 8 Deep Learning for Regulatory Genomics - Regulator binding, Transcription Factors TFs
  9. 9 Gene Expression Prediction - Lecture 09 - Deep Learning in Life Sciences (Spring 2021)
  10. 10 Single Cell Genomics - Lecture 10 - Deep Learning in Life Sciences (Spring 2021)
  11. 11 Dimensionality Reduction - Lecture 11 - Deep Learning in Life Sciences (Spring 2021)
  12. 12 Disease Circuitry Dissection GWAS - Lecture 12 - Deep Learning in Life Science (Spring 2021)
  13. 13 GWAS mechanism - Lecture 13 - Deep Learning in Life Sciences (Spring 2021)
  14. 14 Systems Genetics - Lecture 14 - Deep Learning in Life Sciences (Spring 2021)
  15. 15 Graph Neural Networks - Lecture 15 - Learning in Life Sciences (Spring 2021)
  16. 16 AI for Drug Design - Lecture 16 - Deep Learning in the Life Sciences (Spring 2021)
  17. 17 Deep Learning for Protein Folding - Lecture 17 - MIT Deep Learning in Life Sciences (Spring 2021)
  18. 18 Machine Learning for Pathology - Lecture 19 - MIT Deep Learning in the Life Sciences (Spring 2021)
  19. 19 Deep Learning for Cell Imaging Segmentation - Lecture 20 - MIT ML in Life Sciences (Spring 2021)
  20. 20 Deep Learning Image Registration and Analysis - Lecture 21 - MIT ML in Life Sciences (Spring 2021)
  21. 21 Electronic health records - Lecture 22 - Deep Learning in Life Sciences (Spring 2021)
  22. 22 Deep Learning and Neuroscience - Lecture 23 - Deep Learning in Life Sciences (Spring 2021)

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