DiCoLo: Integration-free and cluster-free detection of localized differential gene co-expression in single-cell data.

Summary: Scientists have a hard time spotting how genes work together differently when comparing healthy and sick cells. Older computer tools tried to group cells first or line them up, but this often missed small changes or got confused by messy data. Now, researchers have created a new tool called DiCoLo. Instead of forcing cells into groups, DiCoLo looks at how genes act as neighbors in a map. It easily spots hidden patterns, even in tricky data. When tested on mouse hair cells, DiCoLo successfully found new groups of working genes that older tools missed!