by Biostatsquid | Mar 18, 2025 | Learning, scRNAseq, Statistics
Understanding similarities and differences between dimensionality reduction algorithms: PCA, t-SNE and UMAP PCA, t-SNE, UMAP… you’ve probably heard about all these dimensionality reduction methods. In this series of blogposts, we’ll cover the...
by Biostatsquid | Mar 14, 2025 | Learning, scRNAseq, Statistics
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...
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...
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...
by Biostatsquid | Jun 16, 2024 | Learning, Statistics
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...
by Biostatsquid | May 26, 2024 | Learning, Statistics
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....
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