BiostatLEARN

Simple and clear explanations of biostatistics methods, statistical concepts and more!

I try to keep them maths-free and straight to the point, with many examples of biological applications.

Latest posts

Easy confidence intervals and p-values
Easy confidence intervals and p-values

Confidence intervals, confidence level and p-values simply explained!Let's talk about p-values and confidence intervals! They're very common statistical terms, and I thought I had a clear understanding of what both are, but turns out that language can be misleading...

read more
Cell type annotation for scRNAseq
Cell type annotation for scRNAseq

Top tips and resources to perform cell type annotation on scRNAseq dataOnce 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...

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Gene Set Enrichment Analysis (GSEA) – simply explained!
Gene Set Enrichment Analysis (GSEA) – simply explained!

What is gene set enrichment analysis and how can you use it to summarise your differential gene expression analysis results?This post will give you a simple and practical explanation of Gene Set Enrichment Analysis, or GSEA for short. You will find out:  What is Gene...

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Pathway enrichment analysis for DGE – simply explained
Pathway enrichment analysis for DGE – simply explained

An overview of pathway enrichment analysis and how you can use it for your differential gene expression analysis data. In this post, you will find pathway enrichment analysis explained in a simple way with examples. I will try to give you a simple and practical...

read more
Easy confidence intervals and p-values

Confidence intervals, confidence level and p-values simply explained!Let's talk about p-values and confidence intervals! They're very common statistical terms, and I thought I had a clear understanding of what both are, but turns out that language can be misleading...

read more
Cell type annotation for scRNAseq

Top tips and resources to perform cell type annotation on scRNAseq dataOnce 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...

read more
Gene Set Enrichment Analysis (GSEA) – simply explained!

What is gene set enrichment analysis and how can you use it to summarise your differential gene expression analysis results?This post will give you a simple and practical explanation of Gene Set Enrichment Analysis, or GSEA for short. You will find out:  What is Gene...

read more
Pathway enrichment analysis for DGE – simply explained

An overview of pathway enrichment analysis and how you can use it for your differential gene expression analysis data. In this post, you will find pathway enrichment analysis explained in a simple way with examples. I will try to give you a simple and practical...

read more