Introduction to machine learning in biomedical research - Part A

Apr 22 and 24-29, 2024

Location

PANUM, Blegdamsvej 3B, 2200 Copenhagen, **Room 31.01.4A (22-26/4) and 29.01.32 (29/4) ** (both rooms are in the basement of Panum in the end towards Nørre Alle)

Official course description: https://phdcourses.ku.dk/DetailKursus.aspx?id=111404&sitepath=SUND

PRELIMINARY Course plan

Monday Apr 22

Main teacher: Shyam Gopalakrishnan [email protected]

Introduction to ML

Time
9-9.15	Welcome
9.15-10	Introduction to Machine Learning
10-12	Unsupervised learning and PCA
12-13	Lunch break
13-14	PCA exercises
14-15	Classification and regression. Logistic regression
15-17	exercises

Wednesday Apr 24

Main teachers: Shyam (morning) and Anders Krogh [email protected] (afternoon)

Details in Day2

Time
9-10	Supervised Learning
10-11	Random forest, boosting, etc
11-12	Exercises
12-13	Lunch break
13-14	Lecture: Introduction to neural networks.
14-17	Introduction to Pytorch.

Thursday, Apr 25

Main Teacher: Anders

Details in Day3

Time
9-10	Lecture: Training neural networks.
10-11	Exercise with gene expression data
11-12	Lecture: Convolutional models. Performance evaluation.
12-13	Lunch break
13-14	Exercise on prediction of TSS in DNA sequences
14-15	Lecture: Generative AI in Life(&)Science
15-17	Start project work.

Friday, Apr 26

Time
9-12	Continue project work
12-13	Lunch break
13-14	Lecture: A generative model for transcriptomics
14-17	Continue project work

Monday, Apr 29

Time
9-11	Final touch on projects
11-12	Group presentation of projects
12-13	Lunch break
13-15	Group presentation of projects
15-16	Final words and evaluation of course