Single-cell and spatial transcriptomics
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Scope of this subject
This cluster of papers focuses on the comprehensive integration and analysis of single-cell transcriptomic data, covering topics such as cell types, spatial profiling, lineage tracking, data integration, gene expression, and cell heterogeneity. The research explores various technologies and computational methods to study the transcriptomic landscape at the single-cell level.
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Research vocabulary
single-cell RNA sequencing; spatial transcriptomics; single-cell transcriptomics; cell type annotation; human tissue atlas; cellular heterogeneity; single-nucleus RNA sequencing; GeoMx digital spatial profiling; single-cell multi-omics; cell clustering; single-cell ATAC-seq; human lung tissue; spatial gene expression; single-cell genomics; female donor; cell type deconvolution; tissue atlas; batch effect correction; cell type classification; neuronal cell types; bulk RNA-seq; spatial proteomics; single-cell proteomics; spatial omics; single-cell data
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Numeric address and provenance
Morton address: 36182745831481867 · morton4x16-v1
Coordinates: (1, 13, 1312, 11289). The address interleaves categorical identifier bits. Nearby addresses are not guaranteed to describe semantically similar subjects.
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