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 ...

Fig. 2: Sharp increase in streambed CH 4-to-CO 2 production potentials alongside a gentler rise in methanogen abundance. Hydrophysical and chemical properties of the streams were determined within ...

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 ...

We start with the fully processed molecular phenotype matrix. In this tutorial, we use the fully processed gene expression matrix for Colon - Transverse from GTEx V8 (2020) as an example. In GTEx’s ...

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 ...

Applied Bayesian Linear Regression (BLR) and Bayesian Generalized Additive Models (BGAMs) to capture both linear and non-linear agronomic relationships with uncertainty-aware inference. 🔍 Key ...

64 ). All analyses were conducted in R version 4.3 using the psych, lmtest, sandwich, car, and ggplot2 packages ( 35 , 65 – 67 ), supplemented by logistf for Firth penalized regression ( 54 ) and mice ...