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 …

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

Cancer-associated fibroblasts (CAFs) are the predominant components of the tumor
microenvironment (TME) and influence cancer hallmarks, but without systematic …

Single‐cell RNA sequencing (scRNA‐seq) technology has become the state‐of‐the‐art
approach for unravelling the heterogeneity and complexity of RNA transcripts within …

Colorectal cancer (CRC) is among the most common malignancies with limited treatments
other than surgery. The tumor microenvironment (TME) profiling enables the discovery of …

Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …

The growing availability of single-cell data, especially transcriptomics, has sparked an
increased interest in the inference of cell-cell communication. Many computational tools …

Spatial transcriptomics approaches have substantially advanced our capacity to detect the
spatial distribution of RNA transcripts in tissues, yet it remains challenging to characterize …

INTRODUCTION Cancer immunotherapies that target tumor-specific T cells have benefited
many cancer patients, but the clinical efficacy varies greatly among different cancer types …