This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

You will be redirected to our submission process. The integration of deep learning (DL) with single-cell RNA sequencing (scRNA-seq) represents a major advancement in genomic research. This research ...

Third, HyPR-seq can detect RNA species that are not targeted by polyA-based scRNA-seq approaches, including introns, enabling time-resolved studies of transcription. Finally, HyPR-seq provides a ...

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

We performed single-cell RNA sequencing (scRNA-seq) and single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) on testicular tissues from patients with obstructive azoospermia ...

Methods: Initially, we conducted a comprehensive analysis of ATAC-seq, RNA-seq, and scRNA-seq datasets derived from CCl4-induced chronic liver injury in mice. Subsequently, functional enrichment ...

Abstract: Dropout events and technical noise are pervasive challenges in single-cell RNA sequencing (scRNA-seq) data, often obscuring true gene expression profiles and undermining the reliability of ...