Exploratory Data Analysis
Petr V. Nazarov
MoDaS: Exploratory Data Analysis
About
This module is devoted to standard methods of exploratory analysis in omics data. First, we shall fast review how to import data into R environment. Next, we refresh and apply the methods of exploatory data analysis, including dimensionality reduction and clustering. At the end of this course, participants are expected to have acquired practical skills in basic exploratory data analysis. Although the course is suitable to a diverse audience, including those with basic R knowledge, it is highly recommended that participants review introductory R course.
- The course is given by Petr Nazarov, with the support of members of BioAI and MoDaS groups and Human Resource of Luxembourg Institute of Health
Place & Date
- Webex
- Room Ada Lovelace, ground floor, Edison Building
- 9:30-17:00, October 14, 2024
NOTE: Please note that there is a WiFi issue in Edison until 10:30!
Materials
The materials of the course are freely available online. Please, use the top menu to navigate through the topics:
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
