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 *

509 related articles for article (PubMed ID: 34584091)

  • 1. Confronting false discoveries in single-cell differential expression.
    Squair JW; Gautier M; Kathe C; Anderson MA; James ND; Hutson TH; Hudelle R; Qaiser T; Matson KJE; Barraud Q; Levine AJ; La Manno G; Skinnider MA; Courtine G
    Nat Commun; 2021 Sep; 12(1):5692. PubMed ID: 34584091
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Comprehensive Survey of Statistical Approaches for Differential Expression Analysis in Single-Cell RNA Sequencing Studies.
    Das S; Rai A; Merchant ML; Cave MC; Rai SN
    Genes (Basel); 2021 Dec; 12(12):. PubMed ID: 34946896
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Stratified Test Accurately Identifies Differentially Expressed Genes Under Batch Effects in Single-Cell Data.
    Liang S; Liang Q; Chen R; Chen K
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2072-2079. PubMed ID: 34232885
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Dimensionality Reduction of Single-Cell RNA-Seq Data.
    Linderman GC
    Methods Mol Biol; 2021; 2284():331-342. PubMed ID: 33835451
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Putative cell type discovery from single-cell gene expression data.
    Miao Z; Moreno P; Huang N; Papatheodorou I; Brazma A; Teichmann SA
    Nat Methods; 2020 Jun; 17(6):621-628. PubMed ID: 32424270
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Best practices on the differential expression analysis of multi-species RNA-seq.
    Chung M; Bruno VM; Rasko DA; Cuomo CA; Muñoz JF; Livny J; Shetty AC; Mahurkar A; Dunning Hotopp JC
    Genome Biol; 2021 Apr; 22(1):121. PubMed ID: 33926528
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using Single-Cell RNA-Seq Data to Trace Tissue Cells Responsive to Thyroid Hormones.
    Hu L; Wu C
    Front Endocrinol (Lausanne); 2021; 12():609308. PubMed ID: 33716967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Single-Cell RNA Sequencing to Disentangle the Blood System.
    Acosta J; Ssozi D; van Galen P
    Arterioscler Thromb Vasc Biol; 2021 Mar; 41(3):1012-1018. PubMed ID: 33441024
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Flexible comparison of batch correction methods for single-cell RNA-seq using BatchBench.
    Chazarra-Gil R; van Dongen S; Kiselev VY; Hemberg M
    Nucleic Acids Res; 2021 Apr; 49(7):e42. PubMed ID: 33524142
    [TBL] [Abstract][Full Text] [Related]  

  • 11. VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics.
    Seninge L; Anastopoulos I; Ding H; Stuart J
    Nat Commun; 2021 Sep; 12(1):5684. PubMed ID: 34584103
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Bayesian inference of gene expression states from single-cell RNA-seq data.
    Breda J; Zavolan M; van Nimwegen E
    Nat Biotechnol; 2021 Aug; 39(8):1008-1016. PubMed ID: 33927416
    [TBL] [Abstract][Full Text] [Related]  

  • 13. How to design a single-cell RNA-sequencing experiment: pitfalls, challenges and perspectives.
    Dal Molin A; Di Camillo B
    Brief Bioinform; 2019 Jul; 20(4):1384-1394. PubMed ID: 29394315
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Characterizing Human Cell Types and Tissue Origin Using the Benford Law.
    Morag S; Salmon-Divon M
    Cells; 2019 Aug; 8(9):. PubMed ID: 31470662
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Independent component analysis based gene co-expression network inference (ICAnet) to decipher functional modules for better single-cell clustering and batch integration.
    Wang W; Tan H; Sun M; Han Y; Chen W; Qiu S; Zheng K; Wei G; Ni T
    Nucleic Acids Res; 2021 May; 49(9):e54. PubMed ID: 33619563
    [TBL] [Abstract][Full Text] [Related]  

  • 16. DIscBIO: A User-Friendly Pipeline for Biomarker Discovery in Single-Cell Transcriptomics.
    Ghannoum S; Leoncio Netto W; Fantini D; Ragan-Kelley B; Parizadeh A; Jonasson E; Ståhlberg A; Farhan H; Köhn-Luque A
    Int J Mol Sci; 2021 Jan; 22(3):. PubMed ID: 33573289
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Differential Variation Analysis Enables Detection of Tumor Heterogeneity Using Single-Cell RNA-Sequencing Data.
    Davis-Marcisak EF; Sherman TD; Orugunta P; Stein-O'Brien GL; Puram SV; Roussos Torres ET; Hopkins AC; Jaffee EM; Favorov AV; Afsari B; Goff LA; Fertig EJ
    Cancer Res; 2019 Oct; 79(19):5102-5112. PubMed ID: 31337651
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multiplexed single-cell RNA-seq via transient barcoding for simultaneous expression profiling of various drug perturbations.
    Shin D; Lee W; Lee JH; Bang D
    Sci Adv; 2019 May; 5(5):eaav2249. PubMed ID: 31106268
    [TBL] [Abstract][Full Text] [Related]  

  • 20. SDImpute: A statistical block imputation method based on cell-level and gene-level information for dropouts in single-cell RNA-seq data.
    Qi J; Zhou Y; Zhao Z; Jin S
    PLoS Comput Biol; 2021 Jun; 17(6):e1009118. PubMed ID: 34138847
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 26.