Exploratory Data Analysis for Proteomics
Petr V. Nazarov, LIH
2019-10-10
About
This training session provides a kick-start opportunity for researchers who are interested in using R-language for exploratory analysis of proteomics data. First, we shall fast review how to import protein 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 proteomics data analysis. Although the course is suitable to a diverse audience, including those with basic R knowledge, it is highly recommend that registered participants review (before the session) sessions 1-3 of the introductory R course: http://edu.sablab.net/r2017/
Place & Date
- Salles Louis Pasteur & Marie Curie, Edison, LIH
- 11:00, the 10th of October, 2019
- by Petr Nazarov
Materials
The materials of the course are freely available online.
See top menu to navigate by topics:
Links
Other courses
- Introduction to R - basic R course (8h).
- Advanced Biostatistics - complete course for PhD students (30h).
Software
- R-cran - install R.
- RStudio - install RStudio.
- Bioconductor - tools for analysis of high-throughput genomics data.
Information
- R Cheat Sheets by RStudio.
- R Reference Card - classical.
- R Tutorial
- Recent R-tidyverse course - new advanced methods and
tidyparadigm in R data analysis.