Single-cell RNA sequencing (scRNA-seq) has become a powerful tool for exploring the diversity of cell types within a biological sample. By analyzing gene expression in individual cells, scientists can uncover details about cellular functions, interactions, and unique roles in complex biological systems. But accurately identifying cell types from scRNA-seq data remains a challenge. Why …
WLGG – identifying cell types by lasso-constraint regularized Gaussian graphical model based on weighted distance penalty
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