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 | Aug 25, 2024 | scRNAseq, Tutorials
A step-by-step easy R tutorial to detect and remove doublets from scRNAseq data In this easy, step-by-step tutorial you will learn how to do some general doublet QC and remove doublets from our Seurat object in R for scRNAseq data. This is part 3 of my tutorial series...
