Data Science: Machine Learning and its Application in Cancer Genomics
Course structure
6/09/21 Session 1: Introduction to Supervised Learning
7/09/21 Session 2: Introduction to Unsupervised learning
8/09/21 Session 3: Introduction to Python
9/09/21 Session 4: Python for Data Science and Machine Learning
10/09/21 Session 5: Fundamentals of Causal Inference
13/09/21 Session 6: Advanced Methods in Machine Learning
14/09/21 Session 7: Further Python Programming Techniques and Tools for Data Science
15/09/21 Session 8: Data Science for Cancer Research I
16/09/21 Session 9: Data Science for Cancer Research II
17/09/21 Session 10: Data Science for Cancer Research III
The course lasts 10 full time half days ( 14.00 pm – 17.00 pm CEST ) and it is structured in lectures and practical sessions. The course will be given ONLINE in vivo and simultaneously RECORDED. The recordings will be make available to the registered students.
Organizers
Prof. Luisa Bernardinelli
Luisa Bernardinelli is a Full Professor in Medical Statistics, Department of Brain and Behavioral Sciences, University of Pavia. She is a member of the Scuola di Alta Formazione Dottorale and of Faculty of of the Phd course in Psycology, Neuroscience and Data Science in Biomedicine. Her main research interest is Casual Inference in genetics and genomics applied to Multiple Sclerosis.
Affiliation Luisa Bernardinelli Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. luisa.bernardinelli@unipv.it
Dr Davide Gentilini
Davide Gentilini is a Type B fixed-term researcher in the Department of Brain and Behavioral Sciences at the University of Pavia. He is mostly interested in genomics in the field of complex diseases. He has two main research lines, one on genomic epidemiology and the second on the epigenetics. The main purpose is to study genotype-phenotype correlation by using analysis models that consider whole genetic and epigenetic information.
Affiliation Davide Gentilini Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy. davide.gentilini@unipv.it
