Cluster RNAseq 001-102 - CS202002013_118 RNAseq 091-102 - CS202002013_235 CS202002013_235 Non-neuronal Non-Neuronal is: Non-neuronal cells of neuroectoderm origin (sometimes called glia). The minimal set of markers required to distinguish this cell class from other cell classes in the primary motor cortex is Qk (F-beta = 0.958), based on the NS Forest method of marker gene selection. Non-Neuronal cells represent 9.75% of all cells collected in the snRNA-seq 10X v3 B dataset. Non-Neuronal cells have an average of 2509 genes detected, which is 1772 less than the average for allcells (4281). Zizhen Yao PMID:34616066 Non-Neuronal Non-Neuronal RNAseq 091-102 Non-neuronal Class {"cell_set_preferred_alias": "Non-Neuronal", "original_label": "", "cell_set_label": "RNAseq 091-102", "cell_set_accession": "CS202002013_235", "cell_set_aligned_alias": "Non-neuronal", "cell_set_additional_aliases": "", "cell_set_alias_assignee": "Zizhen Yao", "cell_set_alias_citation": "PMID:34616066", "cell_set_structure": "primary motor cortex", "cell_set_ontology_tag": "UBERON:0001384", "species": "Mouse", "modality": "RNAseq", "taxonomy_id": "CCN202002013", "taxonomy_description": "Mouse MOp BICCN taxonomy using multiple RNA-Seq datasets ", "child_cell_set_accessions": "CS202002013_91|CS202002013_92|CS202002013_93|CS202002013_94|CS202002013_95|CS202002013_96|CS202002013_97|CS202002013_98|CS202002013_99|CS202002013_100|CS202002013_101|CS202002013_102", "cell_type_card": "Class", "cell_set_color": "#808080"}