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 *

202 related articles for article (PubMed ID: 38106214)

  • 21. SSAM-lite: A Light-Weight Web App for Rapid Analysis of Spatially Resolved Transcriptomics Data.
    Tiesmeyer S; Sahay S; Müller-Bötticher N; Eils R; Mackowiak SD; Ishaque N
    Front Genet; 2022; 13():785877. PubMed ID: 35295943
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Spatially resolved transcriptomics: advances and applications.
    Duan H; Cheng T; Cheng H
    Blood Sci; 2023 Jan; 5(1):1-14. PubMed ID: 36742187
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Spatially Resolved Transcriptomics Technology Facilitates Cancer Research.
    Wang Q; Zhi Y; Zi M; Mo Y; Wang Y; Liao Q; Zhang S; Gong Z; Wang F; Zeng Z; Guo C; Xiong W
    Adv Sci (Weinh); 2023 Oct; 10(30):e2302558. PubMed ID: 37632718
    [TBL] [Abstract][Full Text] [Related]  

  • 24. iSC.MEB: an R package for multi-sample spatial clustering analysis of spatial transcriptomics data.
    Zhang X; Liu W; Song F; Liu J
    Bioinform Adv; 2023; 3(1):vbad019. PubMed ID: 36845201
    [TBL] [Abstract][Full Text] [Related]  

  • 25. An integrated single-nucleus and spatial transcriptomics atlas reveals the molecular landscape of the human hippocampus.
    Nelson ED; Tippani M; Ramnauth AD; Divecha HR; Miller RA; Eagles NJ; Pattie EA; Kwon SH; Bach SV; Kaipa UM; Yao J; Kleinman JE; Collado-Torres L; Han S; Maynard KR; Hyde TM; Martinowich K; Page SC; Hicks SC
    bioRxiv; 2024 Apr; ():. PubMed ID: 38712198
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification.
    Zhang C; Li X; Huang W; Wang L; Shi Q
    Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37253698
    [TBL] [Abstract][Full Text] [Related]  

  • 27. 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]  

  • 28. Benchmarking cell-type clustering methods for spatially resolved transcriptomics data.
    Cheng A; Hu G; Li WV
    Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36410733
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Sprod for de-noising spatially resolved transcriptomics data based on position and image information.
    Wang Y; Song B; Wang S; Chen M; Xie Y; Xiao G; Wang L; Wang T
    Nat Methods; 2022 Aug; 19(8):950-958. PubMed ID: 35927477
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Spaco: A comprehensive tool for coloring spatial data at single-cell resolution.
    Jing Z; Zhu Q; Li L; Xie Y; Wu X; Fang Q; Yang B; Dai B; Xu X; Pan H; Bai Y
    Patterns (N Y); 2024 Mar; 5(3):100915. PubMed ID: 38487801
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. Computational methods for alignment and integration of spatially resolved transcriptomics data.
    Liu Y; Yang C
    Comput Struct Biotechnol J; 2024 Dec; 23():1094-1105. PubMed ID: 38495555
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Generating single-cell gene expression profiles for high-resolution spatial transcriptomics based on cell boundary images.
    Zhang B; Li M; Kang Q; Deng Z; Qin H; Su K; Feng X; Chen L; Liu H; Fang S; Zhang Y; Li Y; Brix S; Xu X
    GigaByte; 2024; 2024():gigabyte110. PubMed ID: 38434932
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Next-Generation Sequencing-Based Spatial Transcriptomics: A Perspective from Barcoding Chemistry.
    Shi W; Zhang J; Huang S; Fan Q; Cao J; Zeng J; Wu L; Yang C
    JACS Au; 2024 May; 4(5):1723-1743. PubMed ID: 38818076
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Gene count normalization in single-cell imaging-based spatially resolved transcriptomics.
    Atta L; Clifton K; Anant M; Aihara G; Fan J
    bioRxiv; 2024 Mar; ():. PubMed ID: 37693542
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Belayer: Modeling discrete and continuous spatial variation in gene expression from spatially resolved transcriptomics.
    Ma C; Chitra U; Zhang S; Raphael BJ
    Cell Syst; 2022 Oct; 13(10):786-797.e13. PubMed ID: 36265465
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Spatially resolved transcriptomics provide a new method for cancer research.
    Zheng B; Fang L
    J Exp Clin Cancer Res; 2022 May; 41(1):179. PubMed ID: 35590346
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression.
    Zhao C; Xu Z; Wang X; Tao S; MacDonald WA; He K; Poholek AC; Chen K; Huang H; Chen W
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38436557
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Technical optimization of spatially resolved single-cell transcriptomic datasets to study clinical liver disease.
    Rocque B; Guion K; Singh P; Bangerth S; Pickard L; Bhattacharjee J; Eguizabal S; Weaver C; Chopra S; Zhou S; Kohli R; Sher L; Ekser B; Emamaullee JA
    Res Sq; 2023 Sep; ():. PubMed ID: 37720049
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 11.