These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
159 related articles for article (PubMed ID: 36624346)
1. SPICEMIX enables integrative single-cell spatial modeling of cell identity. Chidester B; Zhou T; Alam S; Ma J Nat Genet; 2023 Jan; 55(1):78-88. PubMed ID: 36624346 [TBL] [Abstract][Full Text] [Related]
2. Computational solutions for spatial transcriptomics. Kleino I; Frolovaitė P; Suomi T; Elo LL Comput Struct Biotechnol J; 2022; 20():4870-4884. PubMed ID: 36147664 [TBL] [Abstract][Full Text] [Related]
3. Knowledge-graph-based cell-cell communication inference for spatially resolved transcriptomic data with SpaTalk. Shao X; Li C; Yang H; Lu X; Liao J; Qian J; Wang K; Cheng J; Yang P; Chen H; Xu X; Fan X Nat Commun; 2022 Jul; 13(1):4429. PubMed ID: 35908020 [TBL] [Abstract][Full Text] [Related]
4. HyperGCN: an effective deep representation learning framework for the integrative analysis of spatial transcriptomics data. Ma Y; Liu L; Zhao Y; Hang B; Zhang Y BMC Genomics; 2024 Jun; 25(1):566. PubMed ID: 38840049 [TBL] [Abstract][Full Text] [Related]
5. Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography. Andersson A; Bergenstråhle J; Asp M; Bergenstråhle L; Jurek A; Fernández Navarro J; Lundeberg J Commun Biol; 2020 Oct; 3(1):565. PubMed ID: 33037292 [TBL] [Abstract][Full Text] [Related]
6. Reconstruction of the cell pseudo-space from single-cell RNA sequencing data with scSpace. Qian J; Liao J; Liu Z; Chi Y; Fang Y; Zheng Y; Shao X; Liu B; Cui Y; Guo W; Hu Y; Bao H; Yang P; Chen Q; Li M; Zhang B; Fan X Nat Commun; 2023 Apr; 14(1):2484. PubMed ID: 37120608 [TBL] [Abstract][Full Text] [Related]
7. An interpretable Bayesian clustering approach with feature selection for analyzing spatially resolved transcriptomics data. Li H; Zhu B; Jiang X; Guo L; Xie Y; Xu L; Li Q Biometrics; 2024 Jul; 80(3):. PubMed ID: 39073775 [TBL] [Abstract][Full Text] [Related]
8. Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram. Biancalani T; Scalia G; Buffoni L; Avasthi R; Lu Z; Sanger A; Tokcan N; Vanderburg CR; Segerstolpe Å; Zhang M; Avraham-Davidi I; Vickovic S; Nitzan M; Ma S; Subramanian A; Lipinski M; Buenrostro J; Brown NB; Fanelli D; Zhuang X; Macosko EZ; Regev A Nat Methods; 2021 Nov; 18(11):1352-1362. PubMed ID: 34711971 [TBL] [Abstract][Full Text] [Related]
9. Spatial-ID: a cell typing method for spatially resolved transcriptomics via transfer learning and spatial embedding. Shen R; Liu L; Wu Z; Zhang Y; Yuan Z; Guo J; Yang F; Zhang C; Chen B; Feng W; Liu C; Guo J; Fan G; Zhang Y; Li Y; Xu X; Yao J Nat Commun; 2022 Dec; 13(1):7640. PubMed ID: 36496406 [TBL] [Abstract][Full Text] [Related]
10. Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH. Eng CL; Lawson M; Zhu Q; Dries R; Koulena N; Takei Y; Yun J; Cronin C; Karp C; Yuan GC; Cai L Nature; 2019 Apr; 568(7751):235-239. PubMed ID: 30911168 [TBL] [Abstract][Full Text] [Related]
11. Reconstructing developmental trajectories using latent dynamical systems and time-resolved transcriptomics. Maizels RJ; Snell DM; Briscoe J Cell Syst; 2024 May; 15(5):411-424.e9. PubMed ID: 38754365 [TBL] [Abstract][Full Text] [Related]
12. Single-cell transcriptomic and spatial landscapes of the developing human pancreas. Olaniru OE; Kadolsky U; Kannambath S; Vaikkinen H; Fung K; Dhami P; Persaud SJ Cell Metab; 2023 Jan; 35(1):184-199.e5. PubMed ID: 36513063 [TBL] [Abstract][Full Text] [Related]
13. Probabilistic cell/domain-type assignment of spatial transcriptomics data with SpatialAnno. Shi X; Yang Y; Ma X; Zhou Y; Guo Z; Wang C; Liu J Nucleic Acids Res; 2023 Dec; 51(22):e115. PubMed ID: 37941153 [TBL] [Abstract][Full Text] [Related]
14. ClusterMap for multi-scale clustering analysis of spatial gene expression. He Y; Tang X; Huang J; Ren J; Zhou H; Chen K; Liu A; Shi H; Lin Z; Li Q; Aditham A; Ounadjela J; Grody EI; Shu J; Liu J; Wang X Nat Commun; 2021 Oct; 12(1):5909. PubMed ID: 34625546 [TBL] [Abstract][Full Text] [Related]
15. Cell-type modeling in spatial transcriptomics data elucidates spatially variable colocalization and communication between cell-types in mouse brain. Grisanti Canozo FJ; Zuo Z; Martin JF; Samee MAH Cell Syst; 2022 Jan; 13(1):58-70.e5. PubMed ID: 34626538 [TBL] [Abstract][Full Text] [Related]
17. Detection of allele-specific expression in spatial transcriptomics with spASE. Zou LS; Cable DM; Barrera-Lopez IA; Zhao T; Murray E; Aryee MJ; Chen F; Irizarry RA Genome Biol; 2024 Jul; 25(1):180. PubMed ID: 38978101 [TBL] [Abstract][Full Text] [Related]
18. Integrative spatial analysis of cell morphologies and transcriptional states with MUSE. Bao F; Deng Y; Wan S; Shen SQ; Wang B; Dai Q; Altschuler SJ; Wu LF Nat Biotechnol; 2022 Aug; 40(8):1200-1209. PubMed ID: 35347329 [TBL] [Abstract][Full Text] [Related]
19. WEST is an ensemble method for spatial transcriptomics analysis. Cai J; Cheng H; Wu S; Zhong W; Yuan GC; Ma P Cell Rep Methods; 2024 Nov; 4(11):100886. PubMed ID: 39515332 [TBL] [Abstract][Full Text] [Related]
20. Simulating multiple variability in spatially resolved transcriptomics with scCube. Qian J; Bao H; Shao X; Fang Y; Liao J; Chen Z; Li C; Guo W; Hu Y; Li A; Yao Y; Fan X; Cheng Y Nat Commun; 2024 Jun; 15(1):5021. PubMed ID: 38866768 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]