- 4MMIAD

Goal(s)

Statistical approaches and the analysis of large and complex datasets in biology and health, with an emphasis on the contribution of modern methods (AI and deep learning) to numerous scientific fields (ecology, medicine, microbiology, etc.)

Responsible(s)

Clovis GALIEZ

Content(s)

5 thematic areas covering various applications of machine learning and data science in the biomedical field, each taught by a researcher who is an expert in the subject.

Topics covered:

• High-dimensional ML for biomedicine: dimensionality reduction, model selection and validation, feature selection, and stability issues in biomarker selection, FDR control (Nelle Varoquaux and Thomas Burger, 4:00 PM)
• Multi-omics for cancer, data integration, deconvolution...

• Algo prog 1 et 2, proba stats 1 et 2.
• 4MMIIA (introduction à l'intelligence artificielle).

Test

Evaluation : 30% of TP notés and 70% of Examen oral (exposé, soutenance, etc..) (15-20 min)

Resit : 30% of TP notés (reported score) and 70% of Examen oral (exposé, soutenance, etc..) (20 min)

Graded practical sessions can be carried out in groups, with one assessment for each of the 5 parts of the lecture.
Oral examination is individual and covers one (randomly assigned) of the 3 main themes (ML in high dimension, cancerology, ecology).

Calendar

The course exists in the following branches:

• Curriculum - Core curriculum - Semester 8

Additional Information

Course ID : 4MMIAD
Course language(s):

You can find this course among all other courses.