Figure 6.

Meta-analytic markers from the primary motor cortex (MOp) generalize to other cortical regions

(A) Example of class-level predictions in the auditory cortex (AUD), where cells are embedded in UMAP space and colored according to predictions based on the top 100 meta-markers for MOp classes. Cells are assessed independently and remain unassigned (NA) if the marker enrichment score is lower than 1.5 for all classes.

(B) Marker scores (renormalized between 0 and 1) used to determine cell-type assignments. The first subpanel shows the score obtained from a single GABAergic marker; the three other panels show the scores obtained by combining the top 100 meta-markers for each class.

(C) Subclass-level predictions in the auditory cortex based on the top 100 MOp meta-markers (left) and reference labels (right). Cells remain unassigned (NA) if the marker enrichment score is lower than 1.5 for all subclasses. See panel D for color legend (some reference cell types are absent from AUD).

(D) Confusion matrix showing the concordance of subclass-level predictions based on the top 100 meta-markers with reference cell types across 40 brain areas. Cells are unassigned if the marker enrichment is lower than 1.5 for all subclasses. See also Figures S7, S8, S9.