Technological advances enabling massively parallel measurement of biological features—
such as microarrays, high-throughput sequencing and mass spectrometry—have ushered in …

Hundreds of millions of single cells have been analyzed using high-throughput
transcriptomic methods. The cumulative knowledge within these datasets provides an …

Highlights•Tumor-immune CCIs can be investigated using scRNA-seq and ST
strategies.•CCI studies elucidate fundamental mechanisms in disease state.•Open-source …

Tissues are organized in cellular niches, the composition and interactions of which can be
investigated using spatial omics technologies. However, systematic analyses of tissue …

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 growing availability of single-cell and spatially resolved transcriptomics has led to the
development of many approaches to infer cell–cell communication, each capturing only a …

Spatially resolved omics technologies are transforming our understanding of biological
tissues. However, the handling of uni-and multimodal spatial omics datasets remains a …

With progressive digitalization of healthcare systems worldwide, large-scale collection of
electronic health records (EHRs) has become commonplace. However, an extensible …

Single-cell genomic technologies enable the multimodal profiling of millions of cells across
temporal and spatial dimensions. However, experimental limitations hinder the …

Human neural organoids, generated from pluripotent stem cells in vitro, are useful tools to
study human brain development, evolution and disease. However, it is unclear which parts …