Appendix B — Additional Resources

Warning

TODO:

  • …
  • …

B.1 Genomics & Human Genetics

  • Thompson & Thompson Genetics and Genomics in Medicine (9th ed.)
    Ronald Cohn, Stephen Scherer, Ada Hamosh. Clinical-focused overview of human genetics and genomics for medicine, great for grounding in clinical genomics.

  • Human Molecular Genetics (5th ed.)
    Tom Strachan, Andrew Read. Higher-level molecular genetics/genomics text with strong coverage of mechanisms, technologies, and disease applications.

B.2 Immunology

  • Janeway’s Immunobiology (10th ed.)
    Kenneth M. Murphy, Casey Weaver, Leslie J. Berg. Standard comprehensive immunology textbook, excellent for understanding immune system biology relevant to genomics and disease.

B.3 Machine Learning & Deep Learning

  • Deep Learning
    Ian Goodfellow, Yoshua Bengio, Aaron Courville. Comprehensive deep learning textbook; free online: https://www.deeplearningbook.org/

  • Dive into Deep Learning (D2L)
    Aston Zhang et al. Interactive deep learning book with Jupyter notebooks and multi-framework code; free online: https://d2l.ai/

  • An Introduction to Statistical Learning (ISLR, 2nd ed.)
    Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani. Gentle introduction to statistical learning methods used in ML, available free online: https://www.statlearning.com/

  • The Elements of Statistical Learning (ESL)
    Trevor Hastie, Robert Tibshirani, Jerome Friedman. More advanced, theory-heavy companion to ISLR; free PDF: https://hastie.su.domains/ElemStatLearn/