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 *

258 related articles for article (PubMed ID: 34458864)

  • 1. Annotating cell types in human single-cell RNA-seq data with CellO.
    Bernstein MN; Dewey CN
    STAR Protoc; 2021 Sep; 2(3):100705. PubMed ID: 34458864
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Protocol for executing and benchmarking eight computational doublet-detection methods in single-cell RNA sequencing data analysis.
    Xi NM; Li JJ
    STAR Protoc; 2021 Sep; 2(3):100699. PubMed ID: 34382023
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Processing single-cell RNA-seq datasets using SingCellaR.
    Wang G; Wen WX; Mead AJ; Roy A; Psaila B; Thongjuea S
    STAR Protoc; 2022 Jun; 3(2):101266. PubMed ID: 35391938
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computational Analysis of Single-Cell RNA-Seq Data.
    Alessandrì L; Cordero F; Beccuti M; Arigoni M; Calogero RA
    Methods Mol Biol; 2021; 2284():289-301. PubMed ID: 33835449
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation.
    Chen L; Zhai Y; He Q; Wang W; Deng M
    Genes (Basel); 2020 Jul; 11(7):. PubMed ID: 32674393
    [TBL] [Abstract][Full Text] [Related]  

  • 6. scPLAN: a hierarchical computational framework for single transcriptomics data annotation, integration and cell-type label refinement.
    Guo Q; Yuan M; Zhang L; Deng M
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38935069
    [TBL] [Abstract][Full Text] [Related]  

  • 7. RNA-Seq Data Analysis in Galaxy.
    Batut B; van den Beek M; Doyle MA; Soranzo N
    Methods Mol Biol; 2021; 2284():367-392. PubMed ID: 33835453
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Scedar: A scalable Python package for single-cell RNA-seq exploratory data analysis.
    Zhang Y; Kim MS; Reichenberger ER; Stear B; Taylor DM
    PLoS Comput Biol; 2020 Apr; 16(4):e1007794. PubMed ID: 32339163
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data.
    Feng D; Whitehurst CE; Shan D; Hill JD; Yue YG
    BMC Genomics; 2019 Aug; 20(1):676. PubMed ID: 31455220
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using RNentropy to Detect Significant Variation in Gene Expression Across Multiple RNA-Seq or Single-Cell RNA-Seq Samples.
    Zambelli F; Pavesi G
    Methods Mol Biol; 2021; 2284():77-96. PubMed ID: 33835439
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Scanorama: integrating large and diverse single-cell transcriptomic datasets.
    Hie BL; Kim S; Rando TA; Bryson B; Berger B
    Nat Protoc; 2024 Aug; 19(8):2283-2297. PubMed ID: 38844552
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Normalization of Single-Cell RNA-Seq Data.
    Risso D
    Methods Mol Biol; 2021; 2284():303-329. PubMed ID: 33835450
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Protocols for single-cell RNA-seq and spatial gene expression integration and interactive visualization.
    Sona S; Bradley M; Ting AH
    STAR Protoc; 2023 Mar; 4(1):102047. PubMed ID: 36853708
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A machine learning-based method for automatically identifying novel cells in annotating single-cell RNA-seq data.
    Li Z; Wang Y; Ganan-Gomez I; Colla S; Do KA
    Bioinformatics; 2022 Oct; 38(21):4885-4892. PubMed ID: 36083008
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Preparing Highly Viable Single-Cell Suspensions from Mouse Pancreatic Islets for Single-Cell RNA Sequencing.
    Lee H; Engin F
    STAR Protoc; 2020 Dec; 1(3):100144. PubMed ID: 33377038
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Assessing parameter efficient methods for pre-trained language model in annotating scRNA-seq data.
    Xia Y; Liu Y; Li T; He S; Chang H; Wang Y; Zhang Y; Ge W
    Methods; 2024 Aug; 228():12-21. PubMed ID: 38759908
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Protocol for high-quality single-cell RNA-seq from tissue sections with DRaqL.
    Ikeda H; Miyao S; Yamada N; Sugimoto S; Kimura F; Kurimoto K
    STAR Protoc; 2024 Jun; 5(2):103050. PubMed ID: 38703368
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Collection of cells for single-cell RNA sequencing using high-resolution fluorescence microscopy.
    Segeren HA; Andree KC; Oomens L; Westendorp B
    STAR Protoc; 2021 Sep; 2(3):100718. PubMed ID: 34401784
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Identification of Gene Regulatory Networks from Single-Cell Expression Data.
    Li S; Yan H; Lee J
    Methods Mol Biol; 2021; 2328():153-170. PubMed ID: 34251624
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A deep learning framework for denoising and ordering scRNA-seq data using adversarial autoencoder with dynamic batching.
    Ko KD; Sartorelli V
    STAR Protoc; 2024 Jun; 5(2):103067. PubMed ID: 38748883
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.