Cells were predicted in Patch-seq or as excitatory (64,195) or conjugate (7,962) with separate classification for each class type. Cell identities were assigned to all meshes with single somas (individual cells) in the EM dataset using a support vector machine classifier trained on somatic and nuclear features. This classifier was then applied across EM dataset…