Cells are essential to understanding health and disease, yet traditional models fall short of
modeling and simulating their function and behavior. Advances in AI and omics offer …

In recent years there has been tremendous progress towards deep molecular
characterization of cell types using single-cell transcriptome sequencing, creating so-called …

The rapid emergence of spatial transcriptomics (ST) technologies is revolutionizing our
understanding of tissue spatial architecture and biology. Although current ST methods …

Existing annotation paradigms rely on controlled vocabularies, where each data instance is
classified into one term from a predefined set of controlled vocabularies. This paradigm …

The rapid emergence of large-scale atlas-level single-cell RNA-seq datasets presents
remarkable opportunities for broad and deep biological investigations through integrative …

Cells are the singular building blocks of life, and a comprehensive understanding of
morphology, among other properties, is crucial to the assessment of underlying …

The cell is the fundamental constituent unit of a mammal which, in turn, depends on the
cooperative work of various cells to compose intricate life activities. Cells harbor diverse …

Today's genomics workflows typically require alignment to a reference sequence, which
limits discovery. We introduce a unifying paradigm, SPLASH (Statistically Primary aLignment …

So far there has been no comprehensive review using systematic literature search strategies
to show the application of single-cell RNA sequencing (scRNA-seq) in the human testis of …

Therapeutic antibodies have broad indications across diverse disease states, such as
oncology, autoimmune diseases, and infectious diseases. New research continues to …