273 related articles for article (PubMed ID: 35069263)
41. Novel insights from spatial transcriptome analysis in solid tumors.
Du J; An ZJ; Huang ZF; Yang YC; Zhang MH; Fu XH; Shi WY; Hou J
Int J Biol Sci; 2023; 19(15):4778-4792. PubMed ID: 37781515
[TBL] [Abstract][Full Text] [Related]
42. Dimension-agnostic and granularity-based spatially variable gene identification using BSP.
Wang J; Li J; Kramer ST; Su L; Chang Y; Xu C; Eadon MT; Kiryluk K; Ma Q; Xu D
Nat Commun; 2023 Nov; 14(1):7367. PubMed ID: 37963892
[TBL] [Abstract][Full Text] [Related]
43. Deciphering the Spatial Modular Patterns of Tissues by Integrating Spatial and Single-Cell Transcriptomic Data.
Shan X; Chen J; Dong K; Zhou W; Zhang S
J Comput Biol; 2022 Jul; 29(7):650-663. PubMed ID: 35727094
[TBL] [Abstract][Full Text] [Related]
44. Spatial Transcriptomics: Emerging Technologies in Tissue Gene Expression Profiling.
Robles-Remacho A; Sanchez-Martin RM; Diaz-Mochon JJ
Anal Chem; 2023 Oct; 95(42):15450-15460. PubMed ID: 37814884
[TBL] [Abstract][Full Text] [Related]
45. SPIN-AI: A Deep Learning Model That Identifies Spatially Predictive Genes.
Meng-Lin K; Ung CY; Zhang C; Weiskittel TM; Wisniewski P; Zhang Z; Tan SH; Yeo KS; Zhu S; Correia C; Li H
Biomolecules; 2023 May; 13(6):. PubMed ID: 37371475
[TBL] [Abstract][Full Text] [Related]
46. Spatial Transcriptomic Technologies.
Chen TY; You L; Hardillo JAU; Chien MP
Cells; 2023 Aug; 12(16):. PubMed ID: 37626852
[TBL] [Abstract][Full Text] [Related]
47. CellDART: cell type inference by domain adaptation of single-cell and spatial transcriptomic data.
Bae S; Na KJ; Koh J; Lee DS; Choi H; Kim YT
Nucleic Acids Res; 2022 Jun; 50(10):e57. PubMed ID: 35191503
[TBL] [Abstract][Full Text] [Related]
48. Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks.
Shi X; Zhu J; Long Y; Liang C
Brief Bioinform; 2023 Sep; 24(5):. PubMed ID: 37544658
[TBL] [Abstract][Full Text] [Related]
49. Imputation of spatially-resolved transcriptomes by graph-regularized tensor completion.
Li Z; Song T; Yong J; Kuang R
PLoS Comput Biol; 2021 Apr; 17(4):e1008218. PubMed ID: 33826608
[TBL] [Abstract][Full Text] [Related]
50. Mapping Cellular Coordinates through Advances in Spatial Transcriptomics Technology.
Teves JM; Won KJ
Mol Cells; 2020 Jul; 43(7):591-599. PubMed ID: 32507771
[TBL] [Abstract][Full Text] [Related]
51. Slide-tags: scalable, single-nucleus barcoding for multi-modal spatial genomics.
Russell AJC; Weir JA; Nadaf NM; Shabet M; Kumar V; Kambhampati S; Raichur R; Marrero GJ; Liu S; Balderrama KS; Vanderburg CR; Shanmugam V; Tian L; Wu CJ; Yoon CH; Macosko EZ; Chen F
bioRxiv; 2023 Apr; ():. PubMed ID: 37066158
[TBL] [Abstract][Full Text] [Related]
52. Spatially Resolved Transcriptomes of Mammalian Kidneys Illustrate the Molecular Complexity and Interactions of Functional Nephron Segments.
Raghubar AM; Pham DT; Tan X; Grice LF; Crawford J; Lam PY; Andersen SB; Yoon S; Teoh SM; Matigian NA; Stewart A; Francis L; Ng MSY; Healy HG; Combes AN; Kassianos AJ; Nguyen Q; Mallett AJ
Front Med (Lausanne); 2022; 9():873923. PubMed ID: 35872784
[TBL] [Abstract][Full Text] [Related]
53. Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges.
Cheng M; Jiang Y; Xu J; Mentis AA; Wang S; Zheng H; Sahu SK; Liu L; Xu X
J Genet Genomics; 2023 Sep; 50(9):625-640. PubMed ID: 36990426
[TBL] [Abstract][Full Text] [Related]
54. Spatial Transcriptomic Cell-type Deconvolution Using Graph Neural Networks.
Li Y; Luo Y
bioRxiv; 2023 Jun; ():. PubMed ID: 37333198
[TBL] [Abstract][Full Text] [Related]
55. RETROFIT: Reference-free deconvolution of cell-type mixtures in spatial transcriptomics.
Singh R; He X; Park AK; Hardison RC; Zhu X; Li Q
bioRxiv; 2023 Jun; ():. PubMed ID: 37333291
[TBL] [Abstract][Full Text] [Related]
56. Slide-tags enables single-nucleus barcoding for multimodal spatial genomics.
Russell AJC; Weir JA; Nadaf NM; Shabet M; Kumar V; Kambhampati S; Raichur R; Marrero GJ; Liu S; Balderrama KS; Vanderburg CR; Shanmugam V; Tian L; Iorgulescu JB; Yoon CH; Wu CJ; Macosko EZ; Chen F
Nature; 2024 Jan; 625(7993):101-109. PubMed ID: 38093010
[TBL] [Abstract][Full Text] [Related]
57. Statistical Power Analysis for Designing Bulk, Single-Cell, and Spatial Transcriptomics Experiments: Review, Tutorial, and Perspectives.
Jeon H; Xie J; Jeon Y; Jung KJ; Gupta A; Chang W; Chung D
Biomolecules; 2023 Jan; 13(2):. PubMed ID: 36830591
[TBL] [Abstract][Full Text] [Related]
58. Spatial molecular profiling: platforms, applications and analysis tools.
Zhang M; Sheffield T; Zhan X; Li Q; Yang DM; Wang Y; Wang S; Xie Y; Wang T; Xiao G
Brief Bioinform; 2021 May; 22(3):. PubMed ID: 32770205
[TBL] [Abstract][Full Text] [Related]
59. A Review of the Application of Spatial Transcriptomics in Neuroscience.
Zhang L; Xiong Z; Xiao M
Interdiscip Sci; 2024 Feb; ():. PubMed ID: 38374297
[TBL] [Abstract][Full Text] [Related]
60. Space: the final frontier - achieving single-cell, spatially resolved transcriptomics in plants.
Gurazada SGR; Cox KL; Czymmek KJ; Meyers BC
Emerg Top Life Sci; 2021 May; 5(2):179-188. PubMed ID: 33522561
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]