As part of the special “transverse program” of PSL, we organize with the help of PSL a special 1 week course on the topic of “Machine Learning in Genomics”. This course is open in priority to Master 2 students of PSL. It is also open to other students (Master and PhD) and researchers, subject to availability.

Important: Master students should check with their master’s administration if this course can be used to validate one of their master course.

Dates and location

Dates: 29 mars to 2 avril.

Location: TBA.

Pre-register to the Courses

Pre-registration is free but mandatory.

PSL students have priority if they pre-register before January 31st.

Courses Content

This week-long course will be split into three types of classes: theory, practice and project. During the project session, students will work in small groups toward a case study of practical importance. The final examination of the course will be a short presentation of the projects.

Schedule

Day 1:

• Morning: ML for biologists and biology for ML
• Afternoon: Population genetics

Day 2:

• Morning: disease-variant identification
• Afternoon: multi-omics integration: networks

Day 3:

• Morning: multi-omics integration: dimensionality reduction
• Afternoon: Q&A on projects and general questions

Day 4:

• Morning: feature selection, GWAS
• Afternoon: feature selection, GWAS

Day 5:

• Morning: image analysis, combining images with other omics
• Afternoon: image analysis, combining images with other omics

Teachers

• Chloé-Agathe Azencott
• Anaïs Baudot
• Camille Berthelot
• Laura Cantini
• Vivien Goepp
• Flora Jay
• Paul Villoutreix