Read this blog to learn how to perform your first multiple linear regression in R with clear explanations and step-by-step coding examples. This tutorial simplifies statistical modeling, helping you ...

Single-cell transcriptomics can profile thousands of cells in a single experiment and identify novel cell types, states and dynamics in a wide range of tissues and organisms. Standard experimental ...

With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...

Differential gene expression analysis is one of the most common applications of RNA-seq, helping researchers identify genes that are significantly upregulated or downregulated between experimental ...

García, S. R. et al. Novel dynamics of human mucociliary differentiation revealed by single-cell RNA sequencing of nasal epithelial cultures. Development 146, dev177428 (2019).

R Core Team. R: A language and environment for statistical computing. (R Foundation for Statistical Computing, 2017). Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, 2009). Book ...

The imputeTS package specializes on (univariate) time series imputation. It offers several different imputation algorithm implementations. Beyond the imputation algorithms the package also provides ...

Background Overuse of diagnostic testing substantially contributes to healthcare expenses and potentially exposes patients to unnecessary harm. Our objective was to systematically identify and examine ...

For this tutorial, we show the prior predictive checks for the believer, agnostic and skeptical prior using the recommended narrow scale of 0.5, and additionally an inappropriate prior specification ...

Adding current client PLF use as a predictor (Model A4; AIC = 44.0, McFadden R 2 = 0.430, Nagelkerke R 2 = 0.562) produced no meaningful incremental improvement, indicating that working with clients ...