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 at the Josep Carreras Leukaemia Research Institute have demonstrated that combining data from different origins enables a more precise characterization of cell type's diversity into ...

When it comes to treating disease, one promising avenue is addressing the presence of senescent cells. These cells—also known as "zombie cells"—stop dividing but don't die off as cells typically do.

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 ...