Hands-on for 'PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis' tutorial
The questions this addresses are:
- How to predict aberrant pathway activity in The Cancer Genome Atlas (TCGA) using Machine learning approaches?
The objectives are:
- Learn to predict aberrant pathway activity using RNA-Seq data, mutational status and copy number variation data from TCGA.
- Apply logistic regression based machine learning algorithms on TCGA data.
Licence: Creative Commons Attribution 4.0 International
Keywords: statistics, Machine learning, Pan-cancer, cancer biomarkers, oncogenes and tumor suppressor genes
Target audience: Students
Resource type: hands-on tutorial
Contributors: Daniel Blankenberg, Vijay
Scientific topics: Statistics and probability