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.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

226 related articles for article (PubMed ID: 38030617)

  • 1. 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]  

  • 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. Deciphering cell-cell communication at single-cell resolution for spatial transcriptomics with subgraph-based graph attention network.
    Yang W; Wang P; Xu S; Wang T; Luo M; Cai Y; Xu C; Xue G; Que J; Ding Q; Jin X; Yang Y; Pang F; Pang B; Lin Y; Nie H; Xu Z; Ji Y; Jiang Q
    Nat Commun; 2024 Aug; 15(1):7101. PubMed ID: 39155292
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SD2: spatially resolved transcriptomics deconvolution through integration of dropout and spatial information.
    Li H; Li H; Zhou J; Gao X
    Bioinformatics; 2022 Oct; 38(21):4878-4884. PubMed ID: 36063455
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Reference-based cell type matching of in situ image-based spatial transcriptomics data on primary visual cortex of mouse brain.
    Zhang Y; Miller JA; Park J; Lelieveldt BP; Long B; Abdelaal T; Aevermann BD; Biancalani T; Comiter C; Dzyubachyk O; Eggermont J; Langseth CM; Petukhov V; Scalia G; Vaishnav ED; Zhao Y; Lein ES; Scheuermann RH
    Sci Rep; 2023 Jun; 13(1):9567. PubMed ID: 37311768
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Integrating single-cell and spatial transcriptomics to elucidate intercellular tissue dynamics.
    Longo SK; Guo MG; Ji AL; Khavari PA
    Nat Rev Genet; 2021 Oct; 22(10):627-644. PubMed ID: 34145435
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Single-cell genomics and spatial transcriptomics: Discovery of novel cell states and cellular interactions in liver physiology and disease biology.
    Saviano A; Henderson NC; Baumert TF
    J Hepatol; 2020 Nov; 73(5):1219-1230. PubMed ID: 32534107
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Benchmarking mapping algorithms for cell-type annotating in mouse brain by integrating single-nucleus RNA-seq and Stereo-seq data.
    Tao Q; Xu Y; He Y; Luo T; Li X; Han L
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38796691
    [TBL] [Abstract][Full Text] [Related]  

  • 9. STellaris: a web server for accurate spatial mapping of single cells based on spatial transcriptomics data.
    Li X; Xiao C; Qi J; Xue W; Xu X; Mu Z; Zhang J; Li CY; Ding W
    Nucleic Acids Res; 2023 Jul; 51(W1):W560-W568. PubMed ID: 37224539
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A Primer on Preprocessing, Visualization, Clustering, and Phenotyping of Barcode-Based Spatial Transcriptomics Data.
    Ospina O; Soupir A; Fridley BL
    Methods Mol Biol; 2023; 2629():115-140. PubMed ID: 36929076
    [TBL] [Abstract][Full Text] [Related]  

  • 11. stDiff: a diffusion model for imputing spatial transcriptomics through single-cell transcriptomics.
    Li K; Li J; Tao Y; Wang F
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38628114
    [TBL] [Abstract][Full Text] [Related]  

  • 12. STdGCN: spatial transcriptomic cell-type deconvolution using graph convolutional networks.
    Li Y; Luo Y
    Genome Biol; 2024 Aug; 25(1):206. PubMed ID: 39103939
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integration tools for scRNA-seq data and spatial transcriptomics sequencing data.
    Yan C; Zhu Y; Chen M; Yang K; Cui F; Zou Q; Zhang Z
    Brief Funct Genomics; 2024 Jul; 23(4):295-302. PubMed ID: 38267084
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Adjustment of scRNA-seq data to improve cell-type decomposition of spatial transcriptomics.
    Wang L; Hu Y; Gao L
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38426323
    [TBL] [Abstract][Full Text] [Related]  

  • 15. SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction.
    Chen T; Wei X; Xie L; Zhang Y; Liu C; Shen W; Wu S; Wong HS
    Brief Bioinform; 2024 Sep; 25(6):. PubMed ID: 39413798
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Recent advances in spatially resolved transcriptomics: challenges and opportunities.
    Lee J; Yoo M; Choi J
    BMB Rep; 2022 Mar; 55(3):113-124. PubMed ID: 35168703
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CPPLS-MLP: a method for constructing cell-cell communication networks and identifying related highly variable genes based on single-cell sequencing and spatial transcriptomics data.
    Zhang T; Wu Z; Li L; Ren J; Zhang Z; Wang G
    Brief Bioinform; 2024 Mar; 25(3):. PubMed ID: 38678387
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data.
    Srinivasan S; Leshchyk A; Johnson NT; Korkin D
    RNA; 2020 Oct; 26(10):1303-1319. PubMed ID: 32532794
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comprehensive Integration of Single-Cell Data.
    Stuart T; Butler A; Hoffman P; Hafemeister C; Papalexi E; Mauck WM; Hao Y; Stoeckius M; Smibert P; Satija R
    Cell; 2019 Jun; 177(7):1888-1902.e21. PubMed ID: 31178118
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.