Matches in SemOpenAlex for { <https://semopenalex.org/work/W3186389769> ?p ?o ?g. }
- W3186389769 abstract "SUMMARY Single-cell omics data can characterize multifaceted features of massive cells and bring significant insights to biomedical researches. The accumulation of single-cell data provides growing resources for constructing atlases for all cells of a human organ or the whole body. The true assembly of a cell atlas should be cell-centric rather than file-centric. We proposed a unified information framework enabling seamless cell-centric data assembly and developed a human Ensemble Cell Atlas (hECA) as an instance. hECA version 1.0 assembled scRNA-seq data across multiple studies into one orchestrated data repository. It contains 1,093,299 labeled cells and metadata from 116 published human single-cell studies, covering 38 human organs and 11 systems. We invented three methods of applications based on the cell-centric assembly: “ In data ” cell sorting enables targeted data retrieval in the full atlas with customizable logic expressions; The “quantitative portraiture” system provides a multi-view presentation of biological entities (organs, cell types, and genes) of multiple granularities; The customizable reference creation allows users to use the cell-centric assembly to generate references for their own cell type annotations. Case studies on agile construction of user-defined sub-atlases and “ in data ” investigation of CAR-T off-targets in multiple organs showed the great potential of cell-centric atlas assembly." @default.
- W3186389769 created "2021-08-02" @default.
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- W3186389769 date "2021-07-23" @default.
- W3186389769 modified "2023-10-18" @default.
- W3186389769 title "hECA: the cell-centric assembly of a cell atlas" @default.
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