layout | title |
---|---|
default |
Schedule |
- lecture;
- hands-on workshop;
- break
All of the following notebooks can be downloaded from the source Github repository. Please refer to the html files if you have difficulty with installations. The schedule time is indicated in UTC, check your time here.
Instructions on how to run each notebook are indicated in the labs page after installing each conda environment.
Prepare by going through the installation instructions and the following notebooks:
- Data pre-processing notebook (html)
- Dimesionality reduction (html)
- Feature selection notebook (html)
11.00 - 11.10 Introduction (Rui, slides)
11.10 - 11.30 Machine Learning view of Integrative Omics (Nikolay, slides)
11.30 - 12.00 Supervised data integration (Nikolay, slides)
12.10 - 13.00 Unsupervised data integration (Nikolay, slides)
13.10 - 14.35 Hands-on exercises. Choose one of the following:
Supervised integration notebook (html) found in ./session_ml/SupervisedOMICsIntegration/supervised_omics_integr_CLL.Rmd
Unsupervised integration notebook (html) found in ./session_ml/UnsupervisedOMICsIntegration/UnsupervisedOMICsIntegration.Rmd
14.40 - 15.00 Summary (Nikolay)
11.00 - 11.50 Introduction to network analysis (Rui, slides)
12.00 - 12.30 Network properties and community identification (Rui, slides 1)
12.40 - 13.10 Network meta-analysis (Ashfaq,lecture, pdf)
13.10 - 14.35 Hans-on exercises. Choose one of the following:
Multi-omic network analysis notebook (html) found in ./session_topology/lab.ipynb
Network meta-analysis notebook (html) found in ./session_meta/lab_meta-analayses-v2.Rmd
14.40 - 15.00 Summary (Rui and Ashfaq)
Teachers: