Artificial intelligence (AI) has become a common tool for bioinformatics, with hundreds of methods published in recent years. Due to the training data demands of deep-learning algorithms, ...

Spatial EcoTyper is a versatile framework for identifying spatially distinct multicellular communities, termed spatial ecotypes, from single-cell spatial transcriptomics data. In addition, it provides ...

If you use cell2location please cite our paper: Kleshchevnikov, V., Shmatko, A., Dann, E. et al. Cell2location maps fine-grained cell types in spatial transcriptomics ...

Abstract: Aging progresses unevenly across cells, making chronological age an incomplete measure of biological decline. Aging clocks, machine learning models trained on molecular features, offer a ...

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics are revolutionary techniques that offer unparalleled insights into cellular function and tissue architecture. scRNA-seq allows ...

Advances in next-generation sequencing (NGS) technologies have lowered costs and reduced the complexity of DNA and RNA sequencing, enabling new possibilities when studying gene activity. In ...

Abstract: Single-cell multi-omics sequencing allows researchers to simultaneously sequence multiple types of molecular information from the same individual cell, like transcriptomics and proteomics.

Smooth muscle cells (SMCs) of the proximal thoracic aorta are derived from second heart field (SHF) and cardiac neural crest lineages. Recent studies, both in vitro and in vivo, have implied relevance ...

Smooth muscle cells (SMCs) of the proximal thoracic aorta are derived from second heart field (SHF) and cardiac neural crest (CNC) lineages. Recent studies, both in vitro and in vivo, have implied ...

SEATTLE--(BUSINESS WIRE)--Parse Biosciences, a leading provider of accessible and scalable single cell sequencing solutions, today announced the launch of the Parse GigaLab™ to scale single cell ...