BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 38844966)

  • 21. CoSTA: unsupervised convolutional neural network learning for spatial transcriptomics analysis.
    Xu Y; McCord RP
    BMC Bioinformatics; 2021 Aug; 22(1):397. PubMed ID: 34372758
    [TBL] [Abstract][Full Text] [Related]  

  • 22. PROST: quantitative identification of spatially variable genes and domain detection in spatial transcriptomics.
    Liang Y; Shi G; Cai R; Yuan Y; Xie Z; Yu L; Huang Y; Shi Q; Wang L; Li J; Tang Z
    Nat Commun; 2024 Jan; 15(1):600. PubMed ID: 38238417
    [TBL] [Abstract][Full Text] [Related]  

  • 23. 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]  

  • 24. A multi-view graph contrastive learning framework for deciphering spatially resolved transcriptomics data.
    Zhang L; Liang S; Wan L
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38801701
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Joint Bayesian estimation of cell dependence and gene associations in spatially resolved transcriptomic data.
    Chakrabarti A; Ni Y; Mallick BK
    Sci Rep; 2024 Apr; 14(1):9516. PubMed ID: 38664448
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Benchmarking spatial clustering methods with spatially resolved transcriptomics data.
    Yuan Z; Zhao F; Lin S; Zhao Y; Yao J; Cui Y; Zhang XY; Zhao Y
    Nat Methods; 2024 Apr; 21(4):712-722. PubMed ID: 38491270
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. SpaGCN: Integrating gene expression, spatial location and histology to identify spatial domains and spatially variable genes by graph convolutional network.
    Hu J; Li X; Coleman K; Schroeder A; Ma N; Irwin DJ; Lee EB; Shinohara RT; Li M
    Nat Methods; 2021 Nov; 18(11):1342-1351. PubMed ID: 34711970
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network.
    Song T; Markham KK; Li Z; Muller KE; Greenham K; Kuang R
    Bioinformatics; 2022 Feb; 38(5):1344-1352. PubMed ID: 34864909
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparative Methods for Demystifying Spatial Transcriptomics.
    Sammeth M; Mudra S; Bialdiga S; Hartmannsberger B; Kramer S; Rittner H
    Methods Mol Biol; 2024; 2802():515-546. PubMed ID: 38819570
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Hexagonal image segmentation on spatially resolved transcriptomics.
    Gao J; Hu K; Zhang F; Cui X
    Methods; 2023 Dec; 220():61-68. PubMed ID: 37931852
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Spatially informed clustering, integration, and deconvolution of spatial transcriptomics with GraphST.
    Long Y; Ang KS; Li M; Chong KLK; Sethi R; Zhong C; Xu H; Ong Z; Sachaphibulkij K; Chen A; Zeng L; Fu H; Wu M; Lim LHK; Liu L; Chen J
    Nat Commun; 2023 Mar; 14(1):1155. PubMed ID: 36859400
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Integrating spatial gene expression and breast tumour morphology via deep learning.
    He B; Bergenstråhle L; Stenbeck L; Abid A; Andersson A; Borg Å; Maaskola J; Lundeberg J; Zou J
    Nat Biomed Eng; 2020 Aug; 4(8):827-834. PubMed ID: 32572199
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.
    Laubscher E; Wang X; Razin N; Dougherty T; Xu RJ; Ombelets L; Pao E; Graf W; Moffitt JR; Yue Y; Van Valen D
    Cell Syst; 2024 May; 15(5):475-482.e6. PubMed ID: 38754367
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Spatial transcriptomics at subspot resolution with BayesSpace.
    Zhao E; Stone MR; Ren X; Guenthoer J; Smythe KS; Pulliam T; Williams SR; Uytingco CR; Taylor SEB; Nghiem P; Bielas JH; Gottardo R
    Nat Biotechnol; 2021 Nov; 39(11):1375-1384. PubMed ID: 34083791
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Characterizing spatial gene expression heterogeneity in spatially resolved single-cell transcriptomic data with nonuniform cellular densities.
    Miller BF; Bambah-Mukku D; Dulac C; Zhuang X; Fan J
    Genome Res; 2021 Oct; 31(10):1843-1855. PubMed ID: 34035045
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Spatially contrastive variational autoencoder for deciphering tissue heterogeneity from spatially resolved transcriptomics.
    Hu Y; Xiao K; Yang H; Liu X; Zhang C; Shi Q
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38324623
    [TBL] [Abstract][Full Text] [Related]  

  • 38. spVC for the detection and interpretation of spatial gene expression variation.
    Yu S; Li WV
    Genome Biol; 2024 Apr; 25(1):103. PubMed ID: 38641849
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope.
    Wan X; Xiao J; Tam SST; Cai M; Sugimura R; Wang Y; Wan X; Lin Z; Wu AR; Yang C
    Nat Commun; 2023 Nov; 14(1):7848. PubMed ID: 38030617
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Spatially aware dimension reduction for spatial transcriptomics.
    Shang L; Zhou X
    Nat Commun; 2022 Nov; 13(1):7203. PubMed ID: 36418351
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 7.