The workshop aims to introduce R programming concepts with a focus on preparing and analyzing data, and conducting statistical simulations. We will cover how to read data into R, manipulate data with a suite of tools from the tidyverse package dplyr. We will also discuss some basic programming concepts including data types, operators, control flow with if statements and for loops, and how to write your own functions.
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Enrichment analyses including hypergeometric model and gene set enrichment analysis are also implemented for discovering disease associations of high-throughput biological data. DOSE is released within the Bioconductor project and the source code is hosted in GitHub .
The WSBIM2122 course is a project-based course that teaches the analysis of quantitative omics data. It is composed of three major parts: It is composed of three major parts: Introductory material about the command line interface, advanced usage of R markdown for reports and slides, linear models, and utilisation and interpretation of gene set enrichment and over-representation analyses (GSEA).