Researchers studying gene expression have access to vast amounts of data from cells or tissues. This is thanks to advances in ...

R package with collection of functions created and/or curated to aid in the visualization and analysis of single-cell data using R.

In recent years, scientific advancements have transformed our understanding of diseases, particularly at the cellular level.

A GROUNDBREAKING study has revealed how the human immune system evolves across the lifespan, uncovering age-specific changes ...

Objective Innate immunity plays important roles in pancreatic ductal adenocarcinoma (PDAC), as non-T-cell-enriched tumour. Neutrophils are major players in innate immune system. Here, we aimed to ...

Data normalization is vital to single-cell sequencing, addressing limitations presented by low input material ... It uses the two-sample Wilcoxon test and Poisson resampling to detect the genes ...

163.com Objectives The heterogeneity of meniscus cells and the mechanism of meniscus degeneration is not well understood. Here, single-cell RNA sequencing (scRNA-seq) was used to identify various ...

such as number of cells, median number of detected genes, sequencing saturation, and sequencing depth. We installed R (version 3.5.1) and Seurat R package (version 3.1.5) for downstream analysis.

Scientists gain valuable insights into cellular diversity and functions, disease mechanisms, developmental processes, and drug responses by examining the transcriptome of tissues using single-cell RNA ...

KAIST researchers have discovered a molecular switch that can revert cancer cells back to normal by capturing the critical ...

scplotter is an R package that is built upon plotthis. It provides a set of functions to visualize single-cell sequencing data in an easy and efficient way.