Learning - biostatsquid.com

Pathway enrichment analysis for DGE – simply explained

by Biostatsquid | Jan 23, 2023 | RNAseq

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...

Standard scRNAseq pre-processing workflow with Seurat

by Biostatsquid | Jan 10, 2023 | RNAseq, Tutorials

R TUTORIAL: Pre-process your scRNAseq data with this easy, step-by-step pipeline Table of contents 5 Before you start 5 scRNAseq pre-processing pipeline: complete script 5 Step-by-step guide to analyse your data with Seurat 9 Step 1: Set up your script 9 Step 2:...

Multiple testing correction methods: FDR, q-values vs p-values

by Biostatsquid | Nov 24, 2022 | 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....

Correlation does not imply causation

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,...

Principal Component Analysis (PCA) simply explained

by Biostatsquid | Nov 12, 2022 | Machine learning

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....

How to interpret a volcano plot

by Biostatsquid | Nov 2, 2022 | RNAseq, Statistics

What is a volcano plot? Imagine you are carrying out an RNAseq experiment. You have a group of cells A and a group of cells B. Group B was treated with a drug. Now you want to see what effect the drug has in gene expression. Does the drug cause some genes to be...