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

PCA vs UMAP vs t-SNE

Understanding similarities and differences between dimensionality reduction algorithms: PCA, t-SNE and UMAPPCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and...

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Easy UMAP – explained with an example
Easy UMAP – explained with an example

A short but simple explanation of UMAP- easily explained with an example!PCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and differences between them, easily...

read more
Easy t-SNE – explained with an example

A short but simple explanation of t-SNE - easily explained with an example!PCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and differences between them, easily...

read more
A simple explanation of PCA

A short but simple explanation of PCA - easily explained with an example!PCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and differences between them, easily...

read more
How to interpret boxplots and violin plots
How to interpret boxplots and violin plots

A short but simple explanation of boxplots and violin plots - easily explained with an example!Violin plots and boxplots are a great way to visualise and compare a continuous variable across different groups or categories. For example, you might want to find out which...

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How to interpret density plots
How to interpret density plots

A short but simple explanation of density plots - easily explained with an example!Density plots are a great way to visualise the distribution of continuous variables. For example, you might want to find out within which range of weights most of your mice fall. Or if...

read more
PCA vs UMAP vs t-SNE

Understanding similarities and differences between dimensionality reduction algorithms: PCA, t-SNE and UMAPPCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and...

read more
Easy UMAP – explained with an example

A short but simple explanation of UMAP- easily explained with an example!PCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and differences between them, easily...

read more
Easy t-SNE – explained with an example

A short but simple explanation of t-SNE - easily explained with an example!PCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and differences between them, easily...

read more
A simple explanation of PCA

A short but simple explanation of PCA - easily explained with an example!PCA, t-SNE, UMAP... you've probably heard about all these dimensionality reduction methods. In this series of blogposts, we'll cover the similarities and differences between them, easily...

read more
How to interpret boxplots and violin plots

A short but simple explanation of boxplots and violin plots - easily explained with an example!Violin plots and boxplots are a great way to visualise and compare a continuous variable across different groups or categories. For example, you might want to find out which...

read more
How to interpret density plots

A short but simple explanation of density plots - easily explained with an example!Density plots are a great way to visualise the distribution of continuous variables. For example, you might want to find out within which range of weights most of your mice fall. Or if...

read more