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 *

130 related articles for article (PubMed ID: 39115884)

  • 1. Pseudobulk with proper offsets has the same statistical properties as generalized linear mixed models in single-cell case-control studies.
    Lee H; Han B
    Bioinformatics; 2024 Aug; 40(8):. PubMed ID: 39115884
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis.
    Murphy AE; Skene NG
    Nat Commun; 2022 Dec; 13(1):7851. PubMed ID: 36550119
    [No Abstract]   [Full Text] [Related]  

  • 3. Reply to: A balanced measure shows superior performance of pseudobulk methods in single-cell RNA-sequencing analysis.
    Zimmerman KD; Evans C; Langefeld CD
    Nat Commun; 2022 Dec; 13(1):7852. PubMed ID: 36550147
    [No Abstract]   [Full Text] [Related]  

  • 4. A scalable approach to topic modelling in single-cell data by approximate pseudobulk projection.
    Subedi S; Sumida TS; Park YP
    Life Sci Alliance; 2024 Oct; 7(10):. PubMed ID: 39107066
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Heritability estimation and differential analysis of count data with generalized linear mixed models in genomic sequencing studies.
    Sun S; Zhu J; Mozaffari S; Ober C; Chen M; Zhou X
    Bioinformatics; 2019 Feb; 35(3):487-496. PubMed ID: 30020412
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Efficient penalized generalized linear mixed models for variable selection and genetic risk prediction in high-dimensional data.
    St-Pierre J; Oualkacha K; Bhatnagar SR
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36708013
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca.
    Weine E; Carbonetto P; Stephens M
    Bioinformatics; 2024 Aug; 40(8):. PubMed ID: 39110511
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study.
    Bakbergenuly I; Kulinskaya E
    BMC Med Res Methodol; 2018 Jul; 18(1):70. PubMed ID: 29973146
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantifying circular RNA expression from RNA-seq data using model-based framework.
    Li M; Xie X; Zhou J; Sheng M; Yin X; Ko EA; Zhou T; Gu W
    Bioinformatics; 2017 Jul; 33(14):2131-2139. PubMed ID: 28334396
    [TBL] [Abstract][Full Text] [Related]  

  • 10. High performance implementation of the hierarchical likelihood for generalized linear mixed models: an application to estimate the potassium reference range in massive electronic health records datasets.
    Bologa CG; Pankratz VS; Unruh ML; Roumelioti ME; Shah V; Shaffi SK; Arzhan S; Cook J; Argyropoulos C
    BMC Med Res Methodol; 2021 Jul; 21(1):151. PubMed ID: 34303362
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Multilevel modeling in single-case studies with zero-inflated and overdispersed count data.
    Li H; Luo W; Baek E
    Behav Res Methods; 2024 Apr; 56(4):2765-2781. PubMed ID: 38383801
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Spectral clustering based on learning similarity matrix.
    Park S; Zhao H
    Bioinformatics; 2018 Jun; 34(12):2069-2076. PubMed ID: 29432517
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparing N-mixture models and GLMMs for relative abundance estimation in a citizen science dataset.
    Goldstein BR; de Valpine P
    Sci Rep; 2022 Jul; 12(1):12276. PubMed ID: 35853908
    [TBL] [Abstract][Full Text] [Related]  

  • 15. scBGEDA: deep single-cell clustering analysis via a dual denoising autoencoder with bipartite graph ensemble clustering.
    Wang Y; Yu Z; Li S; Bian C; Liang Y; Wong KC; Li X
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36734596
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Model selection of GLMMs in the analysis of count data in single-case studies: A Monte Carlo simulation.
    Li H
    Behav Res Methods; 2024 Oct; 56(7):7963-7984. PubMed ID: 38987450
    [TBL] [Abstract][Full Text] [Related]  

  • 17. MLSeq: Machine learning interface for RNA-sequencing data.
    Goksuluk D; Zararsiz G; Korkmaz S; Eldem V; Zararsiz GE; Ozcetin E; Ozturk A; Karaagaoglu AE
    Comput Methods Programs Biomed; 2019 Jul; 175():223-231. PubMed ID: 31104710
    [TBL] [Abstract][Full Text] [Related]  

  • 18. NBLDA: negative binomial linear discriminant analysis for RNA-Seq data.
    Dong K; Zhao H; Tong T; Wan X
    BMC Bioinformatics; 2016 Sep; 17(1):369. PubMed ID: 27623864
    [TBL] [Abstract][Full Text] [Related]  

  • 19. muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data.
    Crowell HL; Soneson C; Germain PL; Calini D; Collin L; Raposo C; Malhotra D; Robinson MD
    Nat Commun; 2020 Nov; 11(1):6077. PubMed ID: 33257685
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Log-normal frailty models fitted as Poisson generalized linear mixed models.
    Hirsch K; Wienke A; Kuss O
    Comput Methods Programs Biomed; 2016 Dec; 137():167-175. PubMed ID: 28110722
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.