Analyzing single-cell RNA sequencing (scRNA-seq) data is crucial for understanding complex biological processes and disease development, but identifying individual cell types within these vast ...
Researchers headed by a team at the University of California, Irvine, Joe C. Wen School of Population & Public Health have built what they suggest is the first cell type-specific gene regulatory ...
Single-cell sequencing is useful for a number of applications. For example, it can reveal cellular heterogeneity inside complex tissues, such as tumors. It can also provide information about how ...
Plant immunity research has undergone a transformative shift with the advent of spatial and single-cell technologies, ...
Full-body defense does not always look the way textbooks say it should. In planarian flatworms, a newly identified cell type ...
scODIN (Optimized Detection and Inference of Names in scRNA-seq data) overview. a, Automatic top-level cell type identification to identify major clusters (CD4 T cells, B cells, monocytes) for further ...
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