<![CDATA[BOL: Machine Learning for Genomics]]> https://bioinformaticsonline.com/bookmarks/view/43362/machine-learning-for-genomics? https://bioinformaticsonline.com/bookmarks/view/43362/machine-learning-for-genomics Thu, 09 Sep 2021 11:26:32 -0500 https://bioinformaticsonline.com/bookmarks/view/43362/machine-learning-for-genomics <![CDATA[Machine Learning for Genomics]]> Module 1: Statistics for genomics (2-8 August 2021)
  • A simple intro to statistical distributions
  • hypothesis testing
  • linear models.

reading: http://compgenomr.github.io/book/stats.html

slides: https://github.com/BIMSBbioinfo/compgen2021/tree/main/week1/compgen2021_stats.pdf

exercises+code: https://github.com/BIMSBbioinfo/compgen2021/tree/main/week1/

Module 2: Unsupervised learning for genomics (9-15 August 2021)

  • Understanding basic intuition behind machine learning approaches.
  • Using unsupervised learning to cluster and visualise data points
  • Dimension reduction techniques for visualisation and as input to clustering methods

reading: http://compgenomr.github.io/book/unsupervisedLearning.html

slides: https://github.com/BIMSBbioinfo/compgen2021/tree/main/week2/compgen2021_unsupervisedLearning.pdf

exercises+code: https://github.com/BIMSBbioinfo/compgen2021/tree/main/week2/

Module 3: Supervised learning for genomics (16-22 August 2021)

  • Understanding and using supervised learning methods for predictive purposes
  • How to measure prediction performance
  • Understand and use cross-validation and related concepts

reading: http://compgenomr.github.io/book/supervisedLearning.html

slides: https://github.com/BIMSBbioinfo/compgen2021/tree/main/week3/compgen2021_supervisedLearning.pdf

exercises+code: https://github.com/BIMSBbioinfo/compgen2021/tree/main/week3/

https://github.com/BIMSBbioinfo/compgen2021

Address of the bookmark: https://github.com/BIMSBbioinfo/compgen2021

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