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Easy t-SNE – explained with an example

by Biostatsquid | Mar 6, 2025 | Learning, Machine learning, RNAseq, scRNAseq, Statistics

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...

A simple explanation of PCA

by Biostatsquid | Feb 28, 2025 | Machine learning, scRNAseq, Statistics

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...
Logistic regression – easily explained!

Logistic regression – easily explained!

by Biostatsquid | Apr 2, 2024 | Learning, Machine learning, Statistics

A short but simple explanation of logistic regression – easily explained with an example! Logistic regression is a statistical model (also known as logit model) which is often used for classification and predictive analytics. But what is logistic regression?...
Principal Component Analysis (PCA) simply explained

Principal Component Analysis (PCA) simply explained

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....
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