Predictive models
Petr V. Nazarov
MoDaS: Differential Expression Analysis
About
In this module we will consider basics of machine learning approach and build models for regression and classification of samples/patients. We will also use Cox regression to describe and predict patient survival based on clinical observation or gene expression. Participants should have basic R programming skills (please check module Introduction to R).
The course is given by Petr Nazarov, with the support of Malou Fraiture, Sang Yoon Kim, Arnaud Muller and Tony Kaoma
Place & Date
- Webex
- 14:00-18:00, October 26, 2020
Materials
The materials of the course are freely available online. Please, use the top menu to navigate through the topics:
Linear regression
Classification
Survival analysis
Links
Software
- R-cran - install R.
- RStudio - install RStudio.
- Bioconductor - R-packages for the analysis of high-throughput genomic data.
Information
- R Cheat Sheets by RStudio.
- R Reference Card - classical.
- R Tutorial
- R-tidyverse course on tidyverse style of R programming.
by Petr Nazarov 