PhytoCell – an ensemble learning framework for identifying cell states in plant scRNA-seq data (opens in new tab)
With the rapid development of single-cell RNA sequencing (scRNA-seq), researchers can now examine gene activity in individual plant cells at unprecedented resolution, opening new opportunities to study cell differentiation, tissue development, and stress responses. However, scRNA-seq datasets compile data from thousands of cells and are characterized by high dimensionality, extreme sparsity, and substantial technical ...
Read the original article