Statistics and Machine Learning for Life Sciences

3-4 April 2025

Dr. Valeria DiCola, SIB

Dr. Wandrille Duchemin, SIB

Dr. Markus Müller, SIB

Dr. Thuong Van Du Tran, SIB

Statistics are an integral aspect of scientific research, and in particular of life sciences that heavily rely on quantitative methodologies. Among other things, statistics are an essential tool which allows gaining new insights on the relationships between different biological measurements and variables. Machine learning (ML) also assists in making sense of large and complex datasets and can be very useful in mining large biological datasets to uncover new insights that can advance the field of bioinformatics. This course was designed to guide participants in the exploration of the concepts of statistical modelling, and at the same time relate and contrast them with machine learning approaches when it comes to both classification and regression. A particular focus will be given on the evaluation of the relevance of the produced models, and their interpretation in order to provide new biological knowledge.

This course will be streamed.

The course will start at 9:00 and end around 17:00 CET.

Precise information will be provided to the participants in due time.

streamed

CUSO will only pay for your registration to this course if there are at least 6 StarOmics students enrolled. You will be notified whether or not you will be required to pay to the SIB when registration is completed.

CUSO will only pay for your registration to this course if there are at least 6 StarOmics students enrolled. You will be notified whether or not you will be required to pay to the SIB when registration is completed.

Application deadline: 20 March 2025

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