by Biostatsquid | Jul 9, 2023 | scRNAseq, Tutorials
A step-by-step R tutorial on performing pathway enrichment analysis with clusterProfiler in R Note! This is an updated version of ORA analysis with clusterProfiler which doesn’t correspond exactly to the video tutorial! Click here for the old version. Table of...
by Biostatsquid | Jul 9, 2023 | scRNAseq, Tutorials
A step-by-step R tutorial on visualising pathway enrichment analysis results with clusterProfiler Table of contents 5 Before you start 5 Step-by-step tutorial 9 Creating an enrichResult object 9 Barplots 9 Dotplots 9 Cnetplot 9 Heatplot 9 Treeplot 9 Enrichment map 9...
by Biostatsquid | May 20, 2023 | Tutorials, Visualisation
R TUTORIAL: Follow this step-by-step heatmap tutorial with pheatmap() to visualise your differential gene expression results in R Table of contents 5 Before you start 5 Heatmaps with pheatmap(): complete script 5 Step-by-step guide to create annotated heatmaps in R 9...
by Biostatsquid | Apr 13, 2023 | Learning, RNAseq
Top tips and resources to perform cell type annotation on scRNAseq data Once you preprocess your single-cell RNA sequencing (scRNAseq) data, it is time for one of the biggest challenges in a standard scRNAseq pipeline: annotating cell types. The scientific community...
by Biostatsquid | Apr 12, 2023 | Learning, RNAseq, scRNAseq, Statistics
In this post, you will learn how to interpret a heatmap for differential gene expression analysis. Find out why heatmaps are a great way of visualising gene expression data with this simple explanation. Let’s dive in! Prefer to listen? Watch my Youtube video on...
