141 related articles for article (PubMed ID: 37810458)
1. VISTA: visualizing the spatial transcriptome of the
Liska D; Wolfe Z; Norris A
Bioinform Adv; 2023; 3(1):vbad127. PubMed ID: 37810458
[TBL] [Abstract][Full Text] [Related]
2. VISTA: Visualizing the Spatial Transcriptome of the
Liska D; Wolfe Z; Norris A
bioRxiv; 2023 Jun; ():. PubMed ID: 37163055
[TBL] [Abstract][Full Text] [Related]
3. Unravelling spatial gene associations with SEAGAL: a Python package for spatial transcriptomics data analysis and visualization.
Wang L; Liu C; Gao Y; Zhang XH; Liu Z
Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37436699
[TBL] [Abstract][Full Text] [Related]
4. STOmicsDB: a comprehensive database for spatial transcriptomics data sharing, analysis and visualization.
Xu Z; Wang W; Yang T; Li L; Ma X; Chen J; Wang J; Huang Y; Gould J; Lu H; Du W; Sahu SK; Yang F; Li Z; Hu Q; Hua C; Hu S; Liu Y; Cai J; You L; Zhang Y; Li Y; Zeng W; Chen A; Wang B; Liu L; Chen F; Ma K; Xu X; Wei X
Nucleic Acids Res; 2024 Jan; 52(D1):D1053-D1061. PubMed ID: 37953328
[TBL] [Abstract][Full Text] [Related]
5. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration.
Zhang Z; Cui F; Su W; Dou L; Xu A; Cao C; Zou Q
Bioinformatics; 2022 Jun; 38(13):3488-3489. PubMed ID: 35604082
[TBL] [Abstract][Full Text] [Related]
6. A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics.
Li H; Zhou J; Li Z; Chen S; Liao X; Zhang B; Zhang R; Wang Y; Sun S; Gao X
Nat Commun; 2023 Mar; 14(1):1548. PubMed ID: 36941264
[TBL] [Abstract][Full Text] [Related]
7. Unraveling Spatial Gene Associations with SEAGAL: a Python Package for Spatial Transcriptomics Data Analysis and Visualization.
Wang L; Liu C; Liu Z
bioRxiv; 2023 Feb; ():. PubMed ID: 36824948
[TBL] [Abstract][Full Text] [Related]
8. Transcriptome age of individual cell types in
Ma F; Zheng C
Proc Natl Acad Sci U S A; 2023 Feb; 120(9):e2216351120. PubMed ID: 36812209
[TBL] [Abstract][Full Text] [Related]
9. stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics.
Shengquan C; Boheng Z; Xiaoyang C; Xuegong Z; Rui J
Bioinformatics; 2021 Jul; 37(Suppl_1):i299-i307. PubMed ID: 34252941
[TBL] [Abstract][Full Text] [Related]
10. Single worm transcriptomics identifies a developmental core network of oscillating genes with deep conservation across nematodes.
Sun S; Rödelsperger C; Sommer RJ
Genome Res; 2021 Sep; 31(9):1590-1601. PubMed ID: 34301622
[TBL] [Abstract][Full Text] [Related]
11. Comprehensive visualization of cell-cell interactions in single-cell and spatial transcriptomics with NICHES.
Raredon MSB; Yang J; Kothapalli N; Lewis W; Kaminski N; Niklason LE; Kluger Y
Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36458905
[TBL] [Abstract][Full Text] [Related]
12. Spatial Transcriptomics of C. elegans Males and Hermaphrodites Identifies Sex-Specific Differences in Gene Expression Patterns.
Ebbing A; Vértesy Á; Betist MC; Spanjaard B; Junker JP; Berezikov E; van Oudenaarden A; Korswagen HC
Dev Cell; 2018 Dec; 47(6):801-813.e6. PubMed ID: 30416013
[TBL] [Abstract][Full Text] [Related]
13. Temporal activity patterns in thermosensory neurons of freely moving Caenorhabditis elegans encode spatial thermal gradients.
Clark DA; Gabel CV; Gabel H; Samuel AD
J Neurosci; 2007 Jun; 27(23):6083-90. PubMed ID: 17553981
[TBL] [Abstract][Full Text] [Related]
14. FISHFactor: a probabilistic factor model for spatial transcriptomics data with subcellular resolution.
Walter FC; Stegle O; Velten B
Bioinformatics; 2023 May; 39(4):. PubMed ID: 37039825
[TBL] [Abstract][Full Text] [Related]
15. Deep Transcriptomics Reveals Cell-Specific Isoforms of Pan-Neuronal Genes.
Wolfe Z; Liska D; Norris A
bioRxiv; 2024 May; ():. PubMed ID: 38826410
[TBL] [Abstract][Full Text] [Related]
16. Revisiting Neuronal Cell Type Classification in Caenorhabditis elegans.
Hobert O; Glenwinkel L; White J
Curr Biol; 2016 Nov; 26(22):R1197-R1203. PubMed ID: 27875702
[TBL] [Abstract][Full Text] [Related]
17. Kidney Single-cell Transcriptomes Predict Spatial Corticomedullary Gene Expression and Tissue Osmolality Gradients.
Hinze C; Karaiskos N; Boltengagen A; Walentin K; Redo K; Himmerkus N; Bleich M; Potter SS; Potter AS; Eckardt KU; Kocks C; Rajewsky N; Schmidt-Ott KM
J Am Soc Nephrol; 2021 Feb; 32(2):291-306. PubMed ID: 33239393
[TBL] [Abstract][Full Text] [Related]
18. CCPLS reveals cell-type-specific spatial dependence of transcriptomes in single cells.
Tsuchiya T; Hori H; Ozaki H
Bioinformatics; 2022 Oct; 38(21):4868-4877. PubMed ID: 36063454
[TBL] [Abstract][Full Text] [Related]
19. Spatial Transcriptomics of Nematodes Identifies Sperm Cells as a Source of Genomic Novelty and Rapid Evolution.
Rödelsperger C; Ebbing A; Sharma DR; Okumura M; Sommer RJ; Korswagen HC
Mol Biol Evol; 2021 Jan; 38(1):229-243. PubMed ID: 32785688
[TBL] [Abstract][Full Text] [Related]
20. Comprehensive single-cell transcriptional profiling of a multicellular organism.
Cao J; Packer JS; Ramani V; Cusanovich DA; Huynh C; Daza R; Qiu X; Lee C; Furlan SN; Steemers FJ; Adey A; Waterston RH; Trapnell C; Shendure J
Science; 2017 Aug; 357(6352):661-667. PubMed ID: 28818938
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
