Material Detail

Probabilistic Approaches for Computational Biology and Medicine

Probabilistic Approaches for Computational Biology and Medicine

This video was recorded at Marie Curie Initial Training Network on Machine Learning for Personalized Medicine (MLPM) 1st Summer School, Tübingen, 2013. In this talk we will introduce probabilistic approaches to challenges in computational biology and personalized medicine based on Gaussian process models. We will begin the session with an introduction to Gaussian process models, and the focus on potential applications of Gaussian process models to post-genomic data types as well as traditional data types.

Quality

  • Editor Reviews
  • User Rating
  • Comments
  • Learning Exercises
  • Bookmark Collections
  • Course ePortfolios
  • Accessibility Info

More about this material

Comments

Log in to participate in the discussions or sign up if you are not already a MERLOT member.
hidden