
DAESC – differential allelic expression using single-cell data
Differential allele-specific expression (ASE) is a powerful tool to study context-specific cis-regulation of gene expression.…
Differential allele-specific expression (ASE) is a powerful tool to study context-specific cis-regulation of gene expression.…
Identifying cancerous samples or cells using transcriptomic data is critical for cancer related basic research,…
Alzheimer’s disease (AD) is the most common cause of dementia worldwide, but the molecular and…
Cell-cell interactions (CCIs) play critical roles in many biological processes such as cellular differentiation, tissue…
Machine learning methods, particularly neural networks trained on large datasets, are transforming how scientists approach…
The accurate estimation of cell surface receptor abundance for single cell transcriptomics data is important…
Simple CUT&Tag adaptation gives information about genetic regulatory elements in formalin-fixed tumor samples Formalin-fixed, paraffin-embedded…
Single-cell RNA sequencing (scRNAseq) technologies have been beneficial in revealing and describing cellular heterogeneity within…
A study of brain tissue from living adults provides a rare look into the earliest…
Wheat is a global staple food and plays a pivotal role in the livelihoods of billions of people. Although long non-coding RNAs (lncRNAs)…