The EMBO Journal9d
Leveraging prior knowledge to infer gene regulatory networks from single-cell RNA-sequencing data
Many studies have used single-cell RNA sequencing (scRNA-seq) to infer gene regulatory networks (GRNs), which are crucial for ...
GitHub25d
Tutorial for scRNA-seq data analysis beginners using R
The example data used in this tutorial are mostly from the paper Organoid single-cell genomic atlas uncovers human-specific features of brain development. In addition, a subset of data presented in ...
GitHub18d
yelabucsf/scrna-parameter-estimation
memento is a Python package for estimating the mean, variability, and gene correlation from scRNA-seq data as well as contructing a framework for hypothesis testing of differences in these parameters ...
BMJ18d
Single-cell RNA-seq analysis identifies meniscus progenitors and reveals the progression of meniscus degeneration
Correspondence to Dr Zhiqi Zhang, Department of Joint Surgery ... Here, single-cell RNA sequencing (scRNA-seq) was used to identify various meniscus cell subsets and investigate the mechanism of ...
AlphaGalileo7d
Single-cell transcriptome profiling identifies the activation of type I interferon signaling in ossified posterior longitudinal ligament
Single-cell RNA sequencing (scRNA-seq) was performed to analyze cell population characteristics and pathological gene expression patterns. The analysis revealed distinct subpopulations with ...
gut.bmj25d
Dissecting transcriptional heterogeneity in primary gastric adenocarcinoma by single cell RNA sequencing
Here, we report a systematic transcriptional atlas to delineate molecular and cellular heterogeneity in GA using single-cell RNA sequencing (scRNA-seq). Design We performed unbiased transcriptome-wide ...