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 *

141 related articles for article (PubMed ID: 24519380)

  • 1. An efficient algorithm for accurate computation of the Dirichlet-multinomial log-likelihood function.
    Yu P; Shaw CA
    Bioinformatics; 2014 Jun; 30(11):1547-54. PubMed ID: 24519380
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Improving contig binning of metagenomic data using [Formula: see text] oligonucleotide frequency dissimilarity.
    Wang Y; Wang K; Lu YY; Sun F
    BMC Bioinformatics; 2017 Sep; 18(1):425. PubMed ID: 28931373
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Estimating effective population size from temporally spaced samples with a novel, efficient maximum-likelihood algorithm.
    Hui TY; Burt A
    Genetics; 2015 May; 200(1):285-93. PubMed ID: 25747459
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Scalable estimation and regularization for the logistic normal multinomial model.
    Zhang J; Lin W
    Biometrics; 2019 Dec; 75(4):1098-1108. PubMed ID: 31009062
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inference of Environmental Factor-Microbe and Microbe-Microbe Associations from Metagenomic Data Using a Hierarchical Bayesian Statistical Model.
    Yang Y; Chen N; Chen T
    Cell Syst; 2017 Jan; 4(1):129-137.e5. PubMed ID: 28125788
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction analysis for microbiome sequencing data.
    Wang T; Yang C; Zhao H
    Biometrics; 2019 Sep; 75(3):875-884. PubMed ID: 30994187
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Learning sparse log-ratios for high-throughput sequencing data.
    Gordon-Rodriguez E; Quinn TP; Cunningham JP
    Bioinformatics; 2021 Dec; 38(1):157-163. PubMed ID: 34498030
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Estimating overdispersion in sparse multinomial data.
    Afroz F; Parry M; Fletcher D
    Biometrics; 2020 Sep; 76(3):834-842. PubMed ID: 31785150
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fast Approximation of Frequent
    Pellegrina L; Pizzi C; Vandin F
    J Comput Biol; 2020 Apr; 27(4):534-549. PubMed ID: 31891535
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A novel data structure to support ultra-fast taxonomic classification of metagenomic sequences with k-mer signatures.
    Liu X; Yu Y; Liu J; Elliott CF; Qian C; Liu J
    Bioinformatics; 2018 Jan; 34(1):171-178. PubMed ID: 29036588
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Temporal probabilistic modeling of bacterial compositions derived from 16S rRNA sequencing.
    Äijö T; Müller CL; Bonneau R
    Bioinformatics; 2018 Feb; 34(3):372-380. PubMed ID: 28968799
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A Bayesian zero-inflated Dirichlet-multinomial regression model for multivariate compositional count data.
    Koslovsky MD
    Biometrics; 2023 Dec; 79(4):3239-3251. PubMed ID: 36896642
    [TBL] [Abstract][Full Text] [Related]  

  • 13. ILP-based maximum likelihood genome scaffolding.
    Lindsay J; Salooti H; Măndoiu I; Zelikovsky A
    BMC Bioinformatics; 2014; 15 Suppl 9(Suppl 9):S9. PubMed ID: 25253180
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An improved statistical model for taxonomic assignment of metagenomics.
    Yao Y; Jin Z; Lee JH
    BMC Genet; 2018 Oct; 19(1):98. PubMed ID: 30373533
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Investigating microbial co-occurrence patterns based on metagenomic compositional data.
    Ban Y; An L; Jiang H
    Bioinformatics; 2015 Oct; 31(20):3322-9. PubMed ID: 26079350
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Scalable metagenomic taxonomy classification using a reference genome database.
    Ames SK; Hysom DA; Gardner SN; Lloyd GS; Gokhale MB; Allen JE
    Bioinformatics; 2013 Sep; 29(18):2253-60. PubMed ID: 23828782
    [TBL] [Abstract][Full Text] [Related]  

  • 17. An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.
    Wadsworth WD; Argiento R; Guindani M; Galloway-Pena J; Shelburne SA; Vannucci M
    BMC Bioinformatics; 2017 Feb; 18(1):94. PubMed ID: 28178947
    [TBL] [Abstract][Full Text] [Related]  

  • 18. VARIABLE SELECTION FOR SPARSE DIRICHLET-MULTINOMIAL REGRESSION WITH AN APPLICATION TO MICROBIOME DATA ANALYSIS.
    Chen J; Li H
    Ann Appl Stat; 2013 Mar; 7(1):. PubMed ID: 24312162
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploiting topic modeling to boost metagenomic reads binning.
    Zhang R; Cheng Z; Guan J; Zhou S
    BMC Bioinformatics; 2015; 16 Suppl 5(Suppl 5):S2. PubMed ID: 25859745
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Estimating the total genome length of a metagenomic sample using k-mers.
    Hua K; Zhang X
    BMC Genomics; 2019 Apr; 20(Suppl 2):183. PubMed ID: 30967110
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.