BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

140 related articles for article (PubMed ID: 37786667)

  • 1.
    Jin K; Zhang Z; Zhang K; Viggiani F; Callahan C; Tang J; Aronow BJ; Shu J
    bioRxiv; 2023 Sep; ():. PubMed ID: 37786667
    [TBL] [Abstract][Full Text] [Related]  

  • 2. scBOL: a universal cell type identification framework for single-cell and spatial transcriptomics data.
    Zhai Y; Chen L; Deng M
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678389
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
    Liu H; Zhuang Y; Song E; Xu X; Ma G; Cetinkaya C; Hung CC
    Med Phys; 2023 Sep; 50(9):5460-5478. PubMed ID: 36864700
    [TBL] [Abstract][Full Text] [Related]  

  • 5. SCS: cell segmentation for high-resolution spatial transcriptomics.
    Chen H; Li D; Bar-Joseph Z
    Nat Methods; 2023 Aug; 20(8):1237-1243. PubMed ID: 37429992
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Cell segmentation in imaging-based spatial transcriptomics.
    Petukhov V; Xu RJ; Soldatov RA; Cadinu P; Khodosevich K; Moffitt JR; Kharchenko PV
    Nat Biotechnol; 2022 Mar; 40(3):345-354. PubMed ID: 34650268
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Graph deep learning enabled spatial domains identification for spatial transcriptomics.
    Liu T; Fang ZY; Li X; Zhang LN; Cao DS; Yin MZ
    Brief Bioinform; 2023 May; 24(3):. PubMed ID: 37080761
    [TBL] [Abstract][Full Text] [Related]  

  • 8. stAA: adversarial graph autoencoder for spatial clustering task of spatially resolved transcriptomics.
    Fang Z; Liu T; Zheng R; A J; Yin M; Li M
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38189544
    [TBL] [Abstract][Full Text] [Related]  

  • 9. SpatialcoGCN: deconvolution and spatial information-aware simulation of spatial transcriptomics data via deep graph co-embedding.
    Yin W; Wan Y; Zhou Y
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38557675
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Integrating multi-modal information to detect spatial domains of spatial transcriptomics by graph attention network.
    Huo Y; Guo Y; Wang J; Xue H; Feng Y; Chen W; Li X
    J Genet Genomics; 2023 Sep; 50(9):720-733. PubMed ID: 37356752
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Accurate Identification of Spatial Domain by Incorporating Global Spatial Proximity and Local Expression Proximity.
    Yu Y; He Y; Xie Z
    Biomolecules; 2024 Jun; 14(6):. PubMed ID: 38927077
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Graph based multi-scale neighboring topology deep learning for kidney and tumor segmentation.
    Xuan P; Bi H; Cui H; Jin Q; Zhang T; Tu H; Cheng P; Li C; Ning Z; Guo M; Duh HBL
    Phys Med Biol; 2022 Nov; 67(22):. PubMed ID: 36401576
    [No Abstract]   [Full Text] [Related]  

  • 14. ST-CellSeg: Cell segmentation for imaging-based spatial transcriptomics using multi-scale manifold learning.
    Li Y; Lac L; Liu Q; Hu P
    PLoS Comput Biol; 2024 Jun; 20(6):e1012254. PubMed ID: 38935799
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assisted annotation in Deep LOGISMOS: Simultaneous multi-compartment 3D MRI segmentation of calf muscles.
    Zhang L; Guo Z; Zhang H; van der Plas E; Koscik TR; Nopoulos PC; Sonka M
    Med Phys; 2023 Aug; 50(8):4916-4929. PubMed ID: 36750977
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A contrastive learning approach to integrate spatial transcriptomics and histological images.
    Lin Y; Liang Y; Wang D; Chang Y; Ma Q; Wang Y; He F; Xu D
    Comput Struct Biotechnol J; 2024 Dec; 23():1786-1795. PubMed ID: 38707535
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. A review on deep learning applications in highly multiplexed tissue imaging data analysis.
    Zidane M; Makky A; Bruhns M; Rochwarger A; Babaei S; Claassen M; Schürch CM
    Front Bioinform; 2023; 3():1159381. PubMed ID: 37564726
    [TBL] [Abstract][Full Text] [Related]  

  • 19. BIDCell: Biologically-informed self-supervised learning for segmentation of subcellular spatial transcriptomics data.
    Fu X; Lin Y; Lin DM; Mechtersheimer D; Wang C; Ameen F; Ghazanfar S; Patrick E; Kim J; Yang JYH
    Nat Commun; 2024 Jan; 15(1):509. PubMed ID: 38218939
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatial Omics Driven Crossmodal Pretraining Applied to Graph-based Deep Learning for Cancer Pathology Analysis.
    Azher Z; Fatemi M; Lu Y; Srinivasan G; Diallo A; Christensen B; Salas L; Kolling F; Perreard L; Palisoul S; Vaickus L; Levy J
    bioRxiv; 2023 Jul; ():. PubMed ID: 37577686
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.