by Biostatsquid | Dec 14, 2025 | Learning, scRNAseq
Comparing top integration methods for scRNAseq data When we want to combine multiple scRNA-seq datasets to answer bigger questions, we encounter batch effects – unwanted technical variations that arise from differences in how the experiments were performed....
by Biostatsquid | Nov 30, 2025 | Learning, scRNAseq
An overview of the most popular integration methods for single-cell data Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of biology by allowing us to measure gene expression in individual cells rather than bulk tissue samples. This...
by Biostatsquid | Nov 15, 2025 | Learning, RNAseq, scRNAseq, scRNAseq, Tutorials
MSigDB gene sets: easy msigdbr in R MSigDB gene sets: easy msigdbr in R Welcome to this comprehensive guide on MSigDB (Molecular Signatures Database) and the msigdbr R package! If you’ve ever wondered which gene sets to use for your pathway enrichment analysis, or...
by Biostatsquid | Nov 6, 2025 | Learning, RNAseq, Statistics
How to interpret MA plots How to interpret MA plots In this blogpost, we will go over the basics of an MA plot which is a very useful visualisation for genomics and transcriptomics data. We will go over the basics of MA plots and how to interpret them. This is the...
by Biostatsquid | Aug 24, 2025 | Learning, Statistics
How to interpret ANOVA (analysis of variance) easily explained! When you’re working with data and want to determine whether different groups have significantly different averages, simply eyeballing the numbers won’t cut it. That’s where ANOVA (Analysis of...
by Biostatsquid | Jul 15, 2025 | RNAseq, scRNAseq, Tutorials, Uncategorized
Hey! You’re looking at an old post. Newer version here: clusterProfiler tutorial in R R TUTORIAL: Perform pathway enrichment analysis with clusterProfiler() in R Table of contents 5 Before you start 5 Step-by-step clusterProfiler tutorial 9 Step 0: Set up your...
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