CS202210140_89
DLNP_88 (CS202210140_89)
Hierarchy: CS202210140_473 > CS202210140_89
PURL: https://purl.brain-bican.org/taxonomy/CS202210140/CS202210140_neurons/CS202210140_89
Labelset: Cluster (Rank: 1)
Parent Cell Set: Deep-layer near-projecting (CS202210140_473)
Cell Ontology Term:
Transferred annotations:
| Transferred cell label | Source taxonomy | Source node accession | Algorithm name | Comment |
|---|---|---|---|---|
| L5/6 NP | https://purl.brain-bican.org/taxonomy/AIT_MTG/AIT_MTG.json | CrossArea_subclass:2d233a9ab8 | We performed PCA (50 components) on our full dataset, trained a random forest classifier (scikit-learn, class_ weight=‘balanced’, max_depth=50) on the MTG labels, and then predicted labels for all cells. We labeled each cluster with the mode of its constituent cells if two conditions were met: more than 0.8 of predicted labels matched the mode, and the mean probability of these pre- dictions was greater than 0.8. |
Author annotation fields:
| Author annotation | Value |
|---|---|
| Cluster ID | 88 |
| Class auto_annotation | NEUR |
| Neurotransmitter auto_annotation | VGLUT1 |
| Neuropeptide auto_annotation | CCK CHGA CHGB NAMPT NUCB NXPH UBL UCN VGF proSAAS |
| Subtype auto_annotation | None |
| Transferred MTG Label | L5/6 NP |
| Top three regions | Cerebral cortex: 92.2%, Basal forebrain: 4.8%, Amygdala: 1.9% |
| Top three dissections | Human MTG: 15.3%, Human Idg: 10.9%, Human FI: 7.9% |
| Top Enriched Genes | IFNG-AS1, LINC02218, NPSR1-AS1, NPSR1, CD200R1L, AC244502.1, AC005909.2, IL26, CD36, CDCP1 |
| Number of cells | 1548.0 |
| DoubletFinder score | 0.022580338 |
| Total UMI | 23881.69638 |
| Fraction unspliced | 0.713540097 |
| Fraction mitochondrial | 0.003798891 |
| H19.30.002 | 486.0 |
| H19.30.001 | 444.0 |
| H18.30.002 | 529.0 |
| H18.30.001 | 89.0 |
| Fraction cells from top donor | 0.341731266 |
| Number of donors | 4.0 |
| subcluster_id | None |