22:05
Violin plots tutorial with ggplot2 in R (part 1)
09:55
EASY violin plots and boxplots - simple explanation with examples
07:51
How to interpret density plots - simple explanation with examples!
07:39
Logistic regression - easily explained with an example!
33:15
SingleR EASY TUTORIAL: step-by-step cell type annotation in R
42:22
COMPLETE SURVIVAL ANALYSIS tutorial in R: Kaplan-Meier, Cox regression, Forest Plots...
11:30
COX REGRESSION and HAZARD RATIOS - easily explained with an example!
11:23
LOG RANK TEST for survival analysis - easily explained with an example!
09:41
How to interpret KAPLAN-MEIER curves - Easily explained!
08:02
Easy survival analysis - simple introduction with an example!
22:05
Top tips to create pretty plots in R (ggplot2)
24:56
Gene Set Enrichment Analysis (GSEA) with fgsea - easy R tutorial
24:35
Pathway Enrichment Analysis plots: easy R tutorial
18:59
Pathway enrichment analysis tutorial in R with clusterProfiler()
24:57
Step-by-step heatmap tutorial in R with pheatmap()
07:30
How to interpret a heatmap for differential gene expression analysis - simply explained!
08:09
Mapping and aligning sequencing reads | NGS read preprocessing in R (Part 3)
11:52
Quality check on sequencing reads | NGS read preprocessing in R (Part 2)
11:27
Quality check on sequencing reads | NGS read preprocessing in R (Part 1)
31:16
Standard scRNAseq preprocessing workflow with Seurat | Beginner R
11:38
How to interpret GSEA results and plot - simple explanation of ES, NES, leading edge and more!
08:14
Gene Set Enrichment Analysis (GSEA) – simply explained!
12:53
Pathway enrichment analysis - simple explanation!
09:58
FDR, q-values vs p-values: multiple testing simply explained!
06:33
Correlation vs causation | Simple explanation with examples
10:56
Principal Component Analysis (PCA) - easy and practical explanation
18:24
Volcano plots with ggplot2 for differential gene expression| Beginner-friendly R
06:01
Volcano plots explained | How to interpret a volcano plot for DGE
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About
Welcome to Biostatsquid!
In this channel, you will find clear explanations and hands-on tutorials for analysing and interpreting biological data.
- Learn basic techniques in biostatistics, from heatmaps to pathway enrichment analysis.
- Manage your data and create publication-ready visualisations by following my easy step-by-step tutorials in R and Python.
- Practical explanations without complex formulas for you to understand your datasets and be able to interpret your results.
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