Nature

Identification and clustering analysis of drug-responsive temporally varying genes through high-frequency longitudinal RNA sequencing

High-frequency longitudinal RNA sequencing has emerged as a powerful approach for capturing dynamic transcriptional responses to therapeutic interventions, yet traditional differential expression ...
Nanowerk

Gene Expression: Definition, How It Works, Regulation, and Uses

Definition: Gene expression is the process by which a cell turns the information in a gene into a functional product, such as an RNA molecule or a protein. In simple terms: gene expression is how a ...
EurekAlert!

scSCC: A swapped contrastive learning-based clustering method for single-cell gene expression data

Cell clustering serves as a key task in transcriptomic data analysis, playing a crucial role in cell type annotation, marker gene identification, and the discovery of rare cell populations. With the ...
Nature

scNET: learning context-specific gene and cell embeddings by integrating single-cell gene expression data with protein–protein interactions

Single-cell RNA sequencing (scRNA-seq) data have revolutionized our understanding of complex biological systems by revealing inherent cellular heterogeneity. Typically, scRNA-seq analysis involves ...