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...
by Biostatsquid | Mar 22, 2023 | BiostatTOOLS
If you are looking for tools to get a better understanding of statistical concepts or machine learning methods, check out my top resources for statistics and machine learning. If you are new here, don’t forget to check out Biostatsquid’s guided tutorials...
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