Tag: Single-Cell Genomics

A new probabilistic deep learning model called ResolVI corrects misassigned RNA molecules and batch effects in spatial transcriptomics data, sharpening ...

A free web platform called ArchMap now allows researchers to map single-cell datasets onto published reference atlases and annotate cell ...

Researchers at Waseda University have adapted the SAG-gel single-cell genomics platform to sequence individual fungal spores at high throughput, recovering ...

Researchers propose reframing drug development as an iterative, data-centric learning system in which single-cell readouts from human immunotherapy responses continuously ...

By combining single-nucleus RNA sequencing with spatial transcriptomics, researchers have built a detailed spatiotemporal atlas of the postnatal mouse heart, ...

A new review maps the machine learning methods that allow multi-omics models to predict clinical outcomes even when entire layers ...

Genomic dark matter has long been the paradox at the heart of human genetics. The vast majority of disease-associated DNA ...

In a groundbreaking study published in Nature Communications, researchers have unveiled remarkable insights into the microscopic world of ciliates and ...

In a groundbreaking study published in Nature Neuroscience, Baldassari, Klingler, Teijeiro, and colleagues push the frontier of neurological disorder research ...

In the quest to decode the brain's extraordinary complexity, the diversity of cortical cell types remains a fundamental puzzle. The ...