Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

Single-cell multi-omics technologies and methods characterize cell states and activities by
simultaneously integrating various single-modality omics methods that profile the …

Generative pretrained models have achieved remarkable success in various domains such
as language and computer vision. Specifically, the combination of large-scale diverse …

The interplay between chromatin, transcription factors and genes generates complex
regulatory circuits that can be represented as gene regulatory networks (GRNs). The study …

The intestine is a complex organ that promotes digestion, extracts nutrients, participates in
immune surveillance, maintains critical symbiotic relationships with microbiota and affects …

Single-cell transcriptomics provides researchers with a powerful tool to resolve the
transcriptome heterogeneity of individual cells. However, this method falls short in revealing …

Single-cell multi-omics (scMulti-omics) allows the quantification of multiple modalities
simultaneously to capture the intricacy of complex molecular mechanisms and cellular …

Visualization of the cellular heterogeneity and spatial architecture of the tumor
microenvironment (TME) is becoming increasingly important to understand mechanisms of …

Recent work has identified dozens of non-coding loci for Alzheimer's disease (AD) risk, but
their mechanisms and AD transcriptional regulatory circuitry are poorly understood. Here …

Single-cell omics technologies have revolutionized the study of gene regulation in complex
tissues. A major computational challenge in analyzing these datasets is to project the large …