Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366465280> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W4366465280 abstract "Advancing spatially resolved transcriptomics (ST) technologies help biologists comprehensively understand organ function and tissue microenvironment. Accurate spatial domain identification is the foundation for delineating genome heterogeneity and cellular interaction. Motivated by this perspective, a graph deep learning (GDL) based spatial clustering approach is constructed in this paper. First, the deep graph infomax module embedded with residual gated graph convolutional neural network is leveraged to address the gene expression profiles and spatial positions in ST. Then, the Bayesian Gaussian mixture model is applied to handle the latent embeddings to generate spatial domains. Designed experiments certify that the presented method is superior to other state-of-the-art GDL-enabled techniques on multiple ST datasets. The codes and dataset used in this manuscript are summarized at https://github.com/narutoten520/SCGDL." @default.
- W4366465280 created "2023-04-22" @default.
- W4366465280 creator A5009458572 @default.
- W4366465280 creator A5021389154 @default.
- W4366465280 creator A5022526821 @default.
- W4366465280 creator A5061671556 @default.
- W4366465280 creator A5083809384 @default.
- W4366465280 creator A5089446649 @default.
- W4366465280 date "2023-04-20" @default.
- W4366465280 modified "2023-10-18" @default.
- W4366465280 title "Graph deep learning enabled spatial domains identification for spatial transcriptomics" @default.
- W4366465280 cites W1974565082 @default.
- W4366465280 cites W2125310307 @default.
- W4366465280 cites W2127498532 @default.
- W4366465280 cites W2156483112 @default.
- W4366465280 cites W2467355029 @default.
- W4366465280 cites W2800392236 @default.
- W4366465280 cites W2915626801 @default.
- W4366465280 cites W2915848182 @default.
- W4366465280 cites W2950975031 @default.
- W4366465280 cites W3004640473 @default.
- W4366465280 cites W3106188259 @default.
- W4366465280 cites W3108118546 @default.
- W4366465280 cites W3112563877 @default.
- W4366465280 cites W3119671877 @default.
- W4366465280 cites W3134482219 @default.
- W4366465280 cites W3165120573 @default.
- W4366465280 cites W3171692328 @default.
- W4366465280 cites W3190202966 @default.
- W4366465280 cites W3198138654 @default.
- W4366465280 cites W3214865687 @default.
- W4366465280 cites W4210583065 @default.
- W4366465280 cites W4210853280 @default.
- W4366465280 cites W4221095552 @default.
- W4366465280 cites W4229033508 @default.
- W4366465280 cites W4281716652 @default.
- W4366465280 cites W4283704002 @default.
- W4366465280 cites W4306406844 @default.
- W4366465280 cites W4322718355 @default.
- W4366465280 doi "https://doi.org/10.1093/bib/bbad146" @default.
- W4366465280 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37080761" @default.
- W4366465280 hasPublicationYear "2023" @default.
- W4366465280 type Work @default.
- W4366465280 citedByCount "1" @default.
- W4366465280 countsByYear W43664652802023 @default.
- W4366465280 crossrefType "journal-article" @default.
- W4366465280 hasAuthorship W4366465280A5009458572 @default.
- W4366465280 hasAuthorship W4366465280A5021389154 @default.
- W4366465280 hasAuthorship W4366465280A5022526821 @default.
- W4366465280 hasAuthorship W4366465280A5061671556 @default.
- W4366465280 hasAuthorship W4366465280A5083809384 @default.
- W4366465280 hasAuthorship W4366465280A5089446649 @default.
- W4366465280 hasConcept C108583219 @default.
- W4366465280 hasConcept C132525143 @default.
- W4366465280 hasConcept C153180895 @default.
- W4366465280 hasConcept C154945302 @default.
- W4366465280 hasConcept C41008148 @default.
- W4366465280 hasConcept C73555534 @default.
- W4366465280 hasConcept C80444323 @default.
- W4366465280 hasConcept C81363708 @default.
- W4366465280 hasConceptScore W4366465280C108583219 @default.
- W4366465280 hasConceptScore W4366465280C132525143 @default.
- W4366465280 hasConceptScore W4366465280C153180895 @default.
- W4366465280 hasConceptScore W4366465280C154945302 @default.
- W4366465280 hasConceptScore W4366465280C41008148 @default.
- W4366465280 hasConceptScore W4366465280C73555534 @default.
- W4366465280 hasConceptScore W4366465280C80444323 @default.
- W4366465280 hasConceptScore W4366465280C81363708 @default.
- W4366465280 hasFunder F4320321001 @default.
- W4366465280 hasIssue "3" @default.
- W4366465280 hasLocation W43664652801 @default.
- W4366465280 hasLocation W43664652802 @default.
- W4366465280 hasOpenAccess W4366465280 @default.
- W4366465280 hasPrimaryLocation W43664652801 @default.
- W4366465280 hasRelatedWork W2731899572 @default.
- W4366465280 hasRelatedWork W2999805992 @default.
- W4366465280 hasRelatedWork W3011074480 @default.
- W4366465280 hasRelatedWork W3116150086 @default.
- W4366465280 hasRelatedWork W3133861977 @default.
- W4366465280 hasRelatedWork W3192840557 @default.
- W4366465280 hasRelatedWork W4200173597 @default.
- W4366465280 hasRelatedWork W4291897433 @default.
- W4366465280 hasRelatedWork W4312417841 @default.
- W4366465280 hasRelatedWork W4321369474 @default.
- W4366465280 hasVolume "24" @default.
- W4366465280 isParatext "false" @default.
- W4366465280 isRetracted "false" @default.
- W4366465280 workType "article" @default.