Machine Learning methods for the Genome-wide detection of deleterious or pathogenic genetic variants - (from 28/02/2020 to 03/02/2020)

Length: 10 hours - 2 cfu

Abstract

Provide a picture of the state of the art of Machine Learning methodologies for the prediction of pathogenic variants in the coding and regulatory regions of the human genome, with a particular focus on open problems and research perspectives in this Personalized Medicine application area of Machine Learning.

Suggested Readings

A background in Machine Learning is very welcome but not mandatory.
The course is conceived for Computer Science students, but students in Mathematics, Physics, Chemistry, Life Sciences and Medicine are welcome

Dates & Venue

Lecturer:

Prof. Giorgio Valentini - Dipartimento di Informatica

Assessor:

Prof. Giorgio Valentini