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 | Jan 23, 2023 | Learning, RNAseq, scRNAseq, Statistics
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...
by Biostatsquid | Jan 23, 2023 | Learning, RNAseq, scRNAseq, Statistics
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...
by Biostatsquid | Nov 24, 2022 | Learning, Statistics
A simple explanation of what is multiple testing and how it can negatively affect your data. We will also cover some of the most common multiple testing correction methods. In this post I will try to give you a simple and practical explanation of multiple testing....
by Biostatsquid | Nov 21, 2022 | Learning, Statistics
Simple explanation of what is correlation, positive and negative correlation, and the correlation coefficient r. In this post I will try to give you a simple and practical explanation of correlation. Correlation is one of the most used statistical techniques. However,...
by Biostatsquid | Nov 12, 2022 | Learning, Machine learning, Statistics
In this post I will try to give you a simple and practical explanation on what is Principal Component Analysis and how to use it to visualise your biological data. Principal Component Analysis, or PCA, is a widely used technique to visualise multidimensional datasets....
