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

Thus, we address a persistent challenge in bacterial single-cell RNA-seq regarding rRNA abundance, exemplifying the utility of this ... challenging initial predictions and contributing significantly ...

Diseases marked by progressive deterioration of the brain—neurodegeneration—have proven challenging to understand and treat.

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 ...

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 ...

Antibody cloning and expression from single B cells is then required for functional assays. Here we propose a method that integrates FACS-based 5’-end single-cell RNA sequencing (FB5P-seq) and ...

By integrating transcriptomic data, single-cell RNA sequencing data and independently collected RNA sequencing data this ... These analyses helped us to gain a deeper understanding of the biology of ...

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

The technology has advanced rapidly, with various methods like single-cell RNA-seq and bulk RNA-seq gaining ... This technology speeds up the process of understanding how drugs work and ...

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 ...