| http://purl.uniprot.org/citations/32350282 | http://www.w3.org/1999/02/22-rdf-syntax-ns#type | http://purl.uniprot.org/core/Journal_Citation |
| http://purl.uniprot.org/citations/32350282 | http://www.w3.org/2000/01/rdf-schema#comment | "Single-cell RNA sequencing (scRNA-seq) provides details for individual cells; however, crucial spatial information is often lost. We present SpaOTsc, a method relying on structured optimal transport to recover spatial properties of scRNA-seq data by utilizing spatial measurements of a relatively small number of genes. A spatial metric for individual cells in scRNA-seq data is first established based on a map connecting it with the spatial measurements. The cell-cell communications are then obtained by "optimally transporting" signal senders to target signal receivers in space. Using partial information decomposition, we next compute the intercellular gene-gene information flow to estimate the spatial regulations between genes across cells. Four datasets are employed for cross-validation of spatial gene expression prediction and comparison to known cell-cell communications. SpaOTsc has broader applications, both in integrating non-spatial single-cell measurements with spatial data, and directly in spatial single-cell transcriptomics data to reconstruct spatial cellular dynamics in tissues."xsd:string |
| http://purl.uniprot.org/citations/32350282 | http://purl.org/dc/terms/identifier | "doi:10.1038/s41467-020-15968-5"xsd:string |
| http://purl.uniprot.org/citations/32350282 | http://purl.uniprot.org/core/author | "Nie Q."xsd:string |
| http://purl.uniprot.org/citations/32350282 | http://purl.uniprot.org/core/author | "Cang Z."xsd:string |
| http://purl.uniprot.org/citations/32350282 | http://purl.uniprot.org/core/date | "2020"xsd:gYear |
| http://purl.uniprot.org/citations/32350282 | http://purl.uniprot.org/core/name | "Nat Commun"xsd:string |
| http://purl.uniprot.org/citations/32350282 | http://purl.uniprot.org/core/pages | "2084"xsd:string |
| http://purl.uniprot.org/citations/32350282 | http://purl.uniprot.org/core/title | "Inferring spatial and signaling relationships between cells from single cell transcriptomic data."xsd:string |
| http://purl.uniprot.org/citations/32350282 | http://purl.uniprot.org/core/volume | "11"xsd:string |
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