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....
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?...
by Biostatsquid | Nov 26, 2023 | Learning, Statistics
A simple explanation of Cox regression and hazard ratios for survival time analysis Survival time analysis studies a variable with a start time and an end time, which is when a certain event occurs. The event could be death, but also be relapse after chemotherapy, a...
