BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

442 related articles for article (PubMed ID: 36243975)

  • 1. SPASCER: spatial transcriptomics annotation at single-cell resolution.
    Fan Z; Luo Y; Lu H; Wang T; Feng Y; Zhao W; Kim P; Zhou X
    Nucleic Acids Res; 2023 Jan; 51(D1):D1138-D1149. PubMed ID: 36243975
    [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. 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]  

  • 4. 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]  

  • 5. SORC: an integrated spatial omics resource in cancer.
    Zhou W; Su M; Jiang T; Yang Q; Sun Q; Xu K; Shi J; Yang C; Ding N; Li Y; Xu J
    Nucleic Acids Res; 2024 Jan; 52(D1):D1429-D1437. PubMed ID: 37811897
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CROST: a comprehensive repository of spatial transcriptomics.
    Wang G; Wu S; Xiong Z; Qu H; Fang X; Bao Y
    Nucleic Acids Res; 2024 Jan; 52(D1):D882-D890. PubMed ID: 37791883
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Advances in spatial transcriptomics and related data analysis strategies.
    Du J; Yang YC; An ZJ; Zhang MH; Fu XH; Huang ZF; Yuan Y; Hou J
    J Transl Med; 2023 May; 21(1):330. PubMed ID: 37202762
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computational exploration of cellular communication in skin from emerging single-cell and spatial transcriptomic data.
    Jin S; Ramos R
    Biochem Soc Trans; 2022 Feb; 50(1):297-308. PubMed ID: 35191953
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Uncovering the spatial landscape of molecular interactions within the tumor microenvironment through latent spaces.
    Deshpande A; Loth M; Sidiropoulos DN; Zhang S; Yuan L; Bell ATF; Zhu Q; Ho WJ; Santa-Maria C; Gilkes DM; Williams SR; Uytingco CR; Chew J; Hartnett A; Bent ZW; Favorov AV; Popel AS; Yarchoan M; Kiemen A; Wu PH; Fujikura K; Wirtz D; Wood LD; Zheng L; Jaffee EM; Anders RA; Danilova L; Stein-O'Brien G; Kagohara LT; Fertig EJ
    Cell Syst; 2023 Apr; 14(4):285-301.e4. PubMed ID: 37080163
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Spatially informed cell-type deconvolution for spatial transcriptomics.
    Ma Y; Zhou X
    Nat Biotechnol; 2022 Sep; 40(9):1349-1359. PubMed ID: 35501392
    [TBL] [Abstract][Full Text] [Related]  

  • 12. scMAGS: Marker gene selection from scRNA-seq data for spatial transcriptomics studies.
    Baran Y; Doğan B
    Comput Biol Med; 2023 Mar; 155():106634. PubMed ID: 36774895
    [TBL] [Abstract][Full Text] [Related]  

  • 13. stPlus: a reference-based method for the accurate enhancement of spatial transcriptomics.
    Shengquan C; Boheng Z; Xiaoyang C; Xuegong Z; Rui J
    Bioinformatics; 2021 Jul; 37(Suppl_1):i299-i307. PubMed ID: 34252941
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Potential to Enhance Large Scale Molecular Assessments of Skin Photoaging through Virtual Inference of Spatial Transcriptomics from Routine Staining.
    Srinivasan G; Davis MJ; LeBoeuf MR; Fatemi M; Azher ZL; Lu Y; Diallo AB; Saldias Montivero MK; Kolling FW; Perrard L; Salas LA; Christensen BC; Palys TJ; Karagas MR; Palisoul SM; Tsongalis GJ; Vaickus LJ; Preum SM; Levy JJ
    Pac Symp Biocomput; 2024; 29():477-491. PubMed ID: 38160301
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Integration analysis of single-cell and spatial transcriptomics reveal the cellular heterogeneity landscape in glioblastoma and establish a polygenic risk model.
    Liu Y; Wu Z; Feng Y; Gao J; Wang B; Lian C; Diao B
    Front Oncol; 2023; 13():1109037. PubMed ID: 37397378
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. Decoding meningioma heterogeneity and neoplastic cell-macrophage interaction through single-cell transcriptome profiling across pathological grades.
    Fan H; Song L; Fan J; Ma J; Li X; Zhang J; Hu J; Wu Z; Zhang D; Wang L
    J Transl Med; 2023 Oct; 21(1):751. PubMed ID: 37880655
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 23.