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 *

357 related articles for article (PubMed ID: 38505815)

  • 1. Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing.
    Heydari AA; Sindi SS
    Biophys Rev (Melville); 2023 Mar; 4(1):011306. PubMed ID: 38505815
    [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. Deep learning applications in single-cell genomics and transcriptomics data analysis.
    Erfanian N; Heydari AA; Feriz AM; Iañez P; Derakhshani A; Ghasemigol M; Farahpour M; Razavi SM; Nasseri S; Safarpour H; Sahebkar A
    Biomed Pharmacother; 2023 Sep; 165():115077. PubMed ID: 37393865
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Spatial transcriptomics in development and disease.
    Zhou R; Yang G; Zhang Y; Wang Y
    Mol Biomed; 2023 Oct; 4(1):32. PubMed ID: 37806992
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning exploration of single-cell and spatially resolved cancer transcriptomics to unravel tumour heterogeneity.
    Halawani R; Buchert M; Chen YP
    Comput Biol Med; 2023 Sep; 164():107274. PubMed ID: 37506451
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Dissecting mammalian reproduction with spatial transcriptomics.
    Zhang X; Cao Q; Rajachandran S; Grow EJ; Evans M; Chen H
    Hum Reprod Update; 2023 Nov; 29(6):794-810. PubMed ID: 37353907
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Navigating the landscapes of spatial transcriptomics: How computational methods guide the way.
    Li R; Chen X; Yang X
    Wiley Interdiscip Rev RNA; 2024; 15(2):e1839. PubMed ID: 38527900
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. SPACEL: deep learning-based characterization of spatial transcriptome architectures.
    Xu H; Wang S; Fang M; Luo S; Chen C; Wan S; Wang R; Tang M; Xue T; Li B; Lin J; Qu K
    Nat Commun; 2023 Nov; 14(1):7603. PubMed ID: 37990022
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A comprehensive comparison on cell-type composition inference for spatial transcriptomics data.
    Chen J; Liu W; Luo T; Yu Z; Jiang M; Wen J; Gupta GP; Giusti P; Zhu H; Yang Y; Li Y
    Brief Bioinform; 2022 Jul; 23(4):. PubMed ID: 35753702
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Statistical and machine learning methods for spatially resolved transcriptomics with histology.
    Hu J; Schroeder A; Coleman K; Chen C; Auerbach BJ; Li M
    Comput Struct Biotechnol J; 2021; 19():3829-3841. PubMed ID: 34285782
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Data enhancement in the age of spatial biology.
    Liao L; Martin PCN; Kim H; Panahandeh S; Won KJ
    Adv Cancer Res; 2024; 163():39-70. PubMed ID: 39271267
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. DeepST: identifying spatial domains in spatial transcriptomics by deep learning.
    Xu C; Jin X; Wei S; Wang P; Luo M; Xu Z; Yang W; Cai Y; Xiao L; Lin X; Liu H; Cheng R; Pang F; Chen R; Su X; Hu Y; Wang G; Jiang Q
    Nucleic Acids Res; 2022 Dec; 50(22):e131. PubMed ID: 36250636
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multi-modal domain adaptation for revealing spatial functional landscape from spatially resolved transcriptomics.
    Wang L; Hu Y; Xiao K; Zhang C; Shi Q; Chen L
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38819253
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning-based multimodal spatial transcriptomics analysis for cancer.
    Rajdeo P; Aronow B; Surya Prasath VB
    Adv Cancer Res; 2024; 163():1-38. PubMed ID: 39271260
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Spatial domain detection using contrastive self-supervised learning for spatial multi-omics technologies.
    Yao J; Yu J; Caffo B; Page SC; Martinowich K; Hicks SC
    bioRxiv; 2024 Feb; ():. PubMed ID: 38352580
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. STEM enables mapping of single-cell and spatial transcriptomics data with transfer learning.
    Hao M; Luo E; Chen Y; Wu Y; Li C; Chen S; Gao H; Bian H; Gu J; Wei L; Zhang X
    Commun Biol; 2024 Jan; 7(1):56. PubMed ID: 38184694
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 18.