Single-cell RNA sequencing (scRNA-seq) represents a groundbreaking advancement in genomic techniques, allowing researchers to detect and quantify messenger RNA (mRNA) molecules at the single-cell ...

UMAP is a powerful tool for exploratory data analysis, but without a clear understanding of how it works, it can easily lead ...

Use precise geolocation data and actively scan device characteristics for identification. This is done to store and access ...

The input of the DeepTXsolver is the parameters of the mechanism model, and the output is the corresponding stationary distribution solution of the model. The input to the DeepTXinferrer is the ...

Then, scientists can analyze the composition of RNA molecules that contain codes for building new proteins. “However, typical single-cell sequencing experiments use what is called short-read ...

Scientists at Sanford Burnham Prebys are uncovering new ideas for future treatments by better understanding ... on our brain cells. The team used two forms of single-nucleus RNA sequencing ...

Giovanna Prout from Scale Biosciences discusses the inspiration for and results of the company’s ambitious single-cell ...

Recent advances in single-cell transcriptomics have revolutionized our understanding of gastrointestinal ... This study employed large-scale single-cell RNA sequencing to analyze 385 samples ...

Researchers have developed a new tool that will help scientists study how genes are expressed in our cells. The tool, called SigRM, is used to analyze data from single-cell epitranscriptomics ...