sNucDrop-seq: Dissecting Cell-Type Composition and Activity-Dependent Transcriptional State in Mammalian Brains by Massively Parallel Single-Nucleus RNA-Seq

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Dataset

Provider: BROAD_SCP
Type: sc
Organism: —
Format / file: counts_table — expression.txt (255 MB)
Matrix: 18'194 cells x 30'341 genes
Source page: https://singlecell.broadinstitute.org/single_cell/study/SCP140/snucdrop-seq-dissecting-cell-type-composition-and-activity-dependent-transcriptional-state-in-mammalian-brains-by-massively-parallel-single-nucleus-rna-seq
Download URL: https://singlecell.broadinstitute.org/single_cell/api/v1/site/studies/SCP140/download?filename=expression.txt

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