LIH

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:

  1. Linear regression

  2. Classification

  3. Survival analysis