hands-on tutorial

Hands-on for 'PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis' tutorial

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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

Authors: Daniel Blankenberg, Vijay

Contributors: Daniel Blankenberg, Vijay

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