These models are currently limited to predicting bulk measurements and mainly make tissue-specific predictions. Here, we present a model that leverages single-cell RNA-sequencing data to predict gene ...

This study provides evidence that single-cell multi-omics profiling can reveal key regulators of HIV-1 persistence and early immune dysregulation, particularly implicating KLF2 and Th17 cells as major ...

Data normalization is vital to single-cell sequencing, addressing limitations presented by low input material and ... BASiCS uses a fully Bayesian approach that separates data variation into ...

Recent research has produced the first high-resolution molecular image of the equine endometrium, the inner lining of the ...

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.

Our findings provide an important theoretical basis for organ-specific CRC metastasis. Single-cell RNA sequencing (scRNA-seq) can dissect heterogeneous tumour and decipher the cell compositions.

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

Landmark single-cell dataset of one billion cells will be used to train new AI models to advance understanding of cellular ...

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

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 ...

BioSkryb Genomics, a Durham company focused on single-cell and ultra-low input multiomics, has introduced a new service called ResolveSEQ MRD, which allows more detailed classification and ...

The distinct population of endothelial cells that line blood vessels in the insulin-producing "islets" of the human pancreas ...