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 *

146 related articles for article (PubMed ID: 39018178)

  • 21. ShinyArchR.UiO: user-friendly,integrative and open-source tool for visualization of single-cell ATAC-seq data using ArchR.
    Sharma A; Akshay A; Rogne M; Eskeland R
    Bioinformatics; 2022 Jan; 38(3):834-836. PubMed ID: 34586377
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Application of Single-Cell Assay for Transposase-Accessible Chromatin with High Throughput Sequencing in Plant Science: Advances, Technical Challenges, and Prospects.
    Lu C; Wei Y; Abbas M; Agula H; Wang E; Meng Z; Zhang R
    Int J Mol Sci; 2024 Jan; 25(3):. PubMed ID: 38338756
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Integrative analyses of single-cell transcriptome and regulome using MAESTRO.
    Wang C; Sun D; Huang X; Wan C; Li Z; Han Y; Qin Q; Fan J; Qiu X; Xie Y; Meyer CA; Brown M; Tang M; Long H; Liu T; Liu XS
    Genome Biol; 2020 Aug; 21(1):198. PubMed ID: 32767996
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Single-Cell Transcriptional and Epigenetic Profiles of Male Breast Cancer Nominate Salient Cancer-Specific Enhancers.
    Kim H; Wisniewska K; Regner MJ; Thennavan A; Spanheimer PM; Franco HL
    Int J Mol Sci; 2023 Aug; 24(17):. PubMed ID: 37685859
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data.
    Hu D; Liang K; Dong Z; Wang J; Zhao Y; He K
    Brief Bioinform; 2024 Jan; 25(2):. PubMed ID: 38493338
    [TBL] [Abstract][Full Text] [Related]  

  • 26. scGCL: an imputation method for scRNA-seq data based on graph contrastive learning.
    Xiong Z; Luo J; Shi W; Liu Y; Xu Z; Wang B
    Bioinformatics; 2023 Mar; 39(3):. PubMed ID: 36825817
    [TBL] [Abstract][Full Text] [Related]  

  • 27. CCPLS reveals cell-type-specific spatial dependence of transcriptomes in single cells.
    Tsuchiya T; Hori H; Ozaki H
    Bioinformatics; 2022 Oct; 38(21):4868-4877. PubMed ID: 36063454
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Benchmarking automated cell type annotation tools for single-cell ATAC-seq data.
    Wang Y; Sun X; Zhao H
    Front Genet; 2022; 13():1063233. PubMed ID: 36583014
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Graph attention network for link prediction of gene regulations from single-cell RNA-sequencing data.
    Chen G; Liu ZP
    Bioinformatics; 2022 Sep; 38(19):4522-4529. PubMed ID: 35961023
    [TBL] [Abstract][Full Text] [Related]  

  • 30. scLEGA: an attention-based deep clustering method with a tendency for low expression of genes on single-cell RNA-seq data.
    Liu Z; Liang Y; Wang G; Zhang T
    Brief Bioinform; 2024 Jul; 25(5):. PubMed ID: 39060167
    [TBL] [Abstract][Full Text] [Related]  

  • 31. IReNA: Integrated regulatory network analysis of single-cell transcriptomes and chromatin accessibility profiles.
    Jiang J; Lyu P; Li J; Huang S; Tao J; Blackshaw S; Qian J; Wang J
    iScience; 2022 Nov; 25(11):105359. PubMed ID: 36325073
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Cellcano: supervised cell type identification for single cell ATAC-seq data.
    Ma W; Lu J; Wu H
    Nat Commun; 2023 Apr; 14(1):1864. PubMed ID: 37012226
    [TBL] [Abstract][Full Text] [Related]  

  • 33. CAraCAl: CAMML with the integration of chromatin accessibility.
    Schiebout C; Frost HR
    BMC Bioinformatics; 2024 Jun; 25(1):212. PubMed ID: 38872103
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Evaluation of classification in single cell atac-seq data with machine learning methods.
    Guo H; Yang Z; Jiang T; Liu S; Wang Y; Cui Z
    BMC Bioinformatics; 2022 Sep; 23(Suppl 5):249. PubMed ID: 36131234
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Transcriptional and open chromatin analysis of bovine skeletal muscle development by single-cell sequencing.
    Cai C; Wan P; Wang H; Cai X; Wang J; Chai Z; Wang J; Wang H; Zhang M; Yang N; Wu Z; Zhu J; Yang X; Li Y; Yue B; Dang R; Zhong J
    Cell Prolif; 2023 Sep; 56(9):e13430. PubMed ID: 36855961
    [TBL] [Abstract][Full Text] [Related]  

  • 36. scATAC-Ref: a reference of scATAC-seq with known cell labels in multiple species.
    Qian FC; Zhou LW; Zhu YB; Li YY; Yu ZM; Feng CC; Fang QL; Zhao Y; Cai FH; Wang QY; Tang HF; Li CQ
    Nucleic Acids Res; 2024 Jan; 52(D1):D285-D292. PubMed ID: 37897340
    [TBL] [Abstract][Full Text] [Related]  

  • 37. scATAC-seq preprocessing and imputation evaluation system for visualization, clustering and digital footprinting.
    Akhtyamov P; Shaheen L; Raevskiy M; Stupnikov A; Medvedeva YA
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38084919
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Scdrake: a reproducible and scalable pipeline for scRNA-seq data analysis.
    Kubovčiak J; Kolář M; Novotný J
    Bioinform Adv; 2023; 3(1):vbad089. PubMed ID: 37465398
    [TBL] [Abstract][Full Text] [Related]  

  • 39. scDART: integrating unmatched scRNA-seq and scATAC-seq data and learning cross-modality relationship simultaneously.
    Zhang Z; Yang C; Zhang X
    Genome Biol; 2022 Jun; 23(1):139. PubMed ID: 35761403
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Sample Preparation and Integrative Data Analysis of a Droplet-based Single-Cell ATAC-sequencing Using Murine Thymic Epithelial Cells.
    Ishikawa T; Ishii H; Miyao T; Horie K; Miyauchi M; Akiyama N; Akiyama T
    Bio Protoc; 2023 Jan; 13(1):e4588. PubMed ID: 36789086
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.