Machine Learning methods for the Genome-wide detection of deleterious or pathogenic genetic variants

A.Y. 2019/2020
Lesson for
2
ECTS
10
Overall hours
Lesson period
January
Language
English
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.
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
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
Professor(s)
Reception:
Room S216 - second floor Computer Science Dept.