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

Biomedical research is undergoing a paradigm shift towards approaches centred on human
disease models owing to the notoriously high failure rates of the current drug development …

In recent years, single-cell RNA sequencing (scRNA-seq) has emerged as a powerful
technique for investigating cellular heterogeneity and structure. However, analyzing scRNA …

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 …

The immune response to SARS-CoV-2 antigen after infection or vaccination is defined by
the durable production of antibodies and T cells. Population-based monitoring typically …

The immune system is a complex, dynamic, and plastic ecosystem composed of multiple cell
types that constantly sense and interact with their local microenvironment to protect from …

Chromatin accessibility, or the physical access to chromatinized DNA, is a widely studied
characteristic of the eukaryotic genome. As active regulatory DNA elements are generally …

As genomic research becomes more complex and data-rich, artificial intelligence (AI) has
emerged as a crucial tool for processing and analyzing high-dimensional genomic data …

Major depressive disorder (MDD) is a common, heterogenous, and potentially serious
psychiatric illness. Diverse brain cell types have been implicated in MDD etiology …

Over the last decade, precision medicine and immunotherapeutic approaches have become
increasingly popular in oncology. Early clinical trials reported promising results, but …