BiostatCODE
Hands-on coding tutorials with biological data
If you would like to…
- learn data wrangling and visualisation tools for biological data
- start learning code with easy step-by-step guides
- improve your coding skills with R or Python
- learn by doing with hands-on tutorials
Check out Biostatsquid's Youtube videos and tutorials
Data science and biostatistics coding tutorials
How to remove doublets from scRNAseq data
Follow this easy, step-by-step tutorial in R to remove doublets from scRNAseq data.
Easy DoubletFinder tutorial in R
An easy DoubletFinder tutorial in R,with a step-by-step explanation on how to detect doublets in your single-cell RNAseq dataset.
Easy scDblFinder tutorial: doublet detection in R
scDblFinder tutorial – detect and remove doublets with scDblFinder package in R
Easy violin plots tutorial in R with ggplot2
In this tutorial we will learn how to create and customise our own violin plots in R with ggplot2. We will also create our own custom function!
SingleR tutorial: easy cell type annotation
In this easy, step-by-step SingleR tutorial you will learn how to do cell type annotation using SingleR, a reference-based cell type annotation tool.
Easy survival analysis in R
In this easy survival analysis in R tutorial, we’ll learn how to plot a Kaplan Meier curve, test for differences in survival between groups with log rank test and Cox regression!
How to use italics in plots in R: easy tutorial
In this post, you will learn a few ways to use italics in plots in R, using bquote() and as.expression(). You can also make text and titles bold, italics and more!
Top visualisation tricks you should know in R
Top visualisation tricks and tips to create pretty and publication-ready plots in R!
Easy Gene Set Enrichment Analysis in R with fgsea()
In this step by step tutorial, you will learn how to perform easy gene set enrichment analysis in R with fgsea() package.
Pathway Enrichment Analysis with clusterProfiler
Step by step tutorial to carry out pathway enrichment analysis with R package clusterProfiler. From differentially expressed genes to pathways!