May 23-31, 2022
Official course description: https://phdcourses.ku.dk/DetailKursus.aspx?id=109397&sitepath=SUND
PANUM, Blegdamsvej 3B, 2200 Copenhagen, Maersk Tower, Floor 15, room 7.15.152
Main teacher: Shyam Gopalakrishnan fck245@ku.dk
Introduction to ML
Time | |
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9-10 | Introduction to Machine Learning |
10-11 | Unsupervised learning: PCA |
11-12 | PCA exercises |
12-13 | Lunch break |
13-14 | Supervised learning: classification and regression |
14-15 | Logistic regression exercises |
Main teacher: Anders Krogh anders.krogh@sund.ku.dk
Neural Networks
Time | |
---|---|
9-10 | Lecture: What is a NN? Feed-forward NN. Backpropagation. Day2/NNintro1.pdf. Notebook for gradient descent |
10-11 | Exercise: Introduction to Pytorch. Make your first NN |
11-12 | Lecture: Issues in training. SGD, Adam. mixed with hands-on. Day2/NNintro2.pdf |
12-13 | Lunch break |
13-14 | Exercise with gene expression data |
14-15 | Lecture: Neural networks for sequences (one-hot encoding, convolution). Performance evaluation (ROC curve). Day2/NNintro3.pdf |
15-16 | Exercise on prediction of TSS in DNA sequences |
Main Teacher: Ole Winther ole.winther@bio.ku.dk (morning) Anders (afternoon)
Generative Neural Networks
Time | |
---|---|
9-10 | Generative Neural Networks |
10-12 | Exercise on Generative Neural Networks |
12-13 | Lunch break |
13-14 | Start project work. See project folder. |
14-15 | Talk by Mani Arumugam: Gut microbiome signatures of Colorectal Cancer. (Data set for use in the Hackathon) |
15-16 | Continue project |
Main Teacher: Anders
Time | |
---|---|
9-12 | Continue project work |
12-13 | Lunch break |
13-15 | Project presentations |
15-16 | Reflections, Discussion, Questions, Evaluation |
Responsible: Ruth Loos ruth.loos@sund.ku.dk & Cameron MacPherson cameron.macpherson@regionh.dk
Talks: Example of machine learning applications in the biomedical field & intro to hackathon
Please visit the following links for details on the three datasets for next week's course, part-B:
- P001. Predicting cell type using chromatin accessibility
- P002. Metabolomic profiling of a wellness cohort
- P003. Gut microbiome signatures of Colorectal Cancer
For specific questions about the Chromatin dataset (P0001), please send your questions to: christian.gronbaek@sund.ku.dk