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 *

128 related articles for article (PubMed ID: 38666212)

  • 1. Microbiome compositional data analysis for survival studies.
    Pujolassos M; Susín A; Calle ML
    NAR Genom Bioinform; 2024 Jun; 6(2):lqae038. PubMed ID: 38666212
    [TBL] [Abstract][Full Text] [Related]  

  • 2. coda4microbiome: compositional data analysis for microbiome cross-sectional and longitudinal studies.
    Calle ML; Pujolassos M; Susin A
    BMC Bioinformatics; 2023 Mar; 24(1):82. PubMed ID: 36879227
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of Compositional Data Analysis to Study the Relationship between Bacterial Diversity in Human Faeces and Sex, Age, and Weight.
    López-García E; Benítez-Cabello A; Arenas-de Larriva AP; Gutierrez-Mariscal FM; Pérez-Martínez P; Yubero-Serrano EM; Arroyo-López FN; Garrido-Fernández A
    Biomedicines; 2023 Jul; 11(8):. PubMed ID: 37626632
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Variable selection in microbiome compositional data analysis.
    Susin A; Wang Y; Lê Cao KA; Calle ML
    NAR Genom Bioinform; 2020 Jun; 2(2):lqaa029. PubMed ID: 33575585
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Balances: a New Perspective for Microbiome Analysis.
    Rivera-Pinto J; Egozcue JJ; Pawlowsky-Glahn V; Paredes R; Noguera-Julian M; Calle ML
    mSystems; 2018; 3(4):. PubMed ID: 30035234
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Compositional Data Analysis of Periodontal Disease Microbial Communities.
    Sisk-Hackworth L; Ortiz-Velez A; Reed MB; Kelley ST
    Front Microbiol; 2021; 12():617949. PubMed ID: 34079525
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Sparse least trimmed squares regression with compositional covariates for high-dimensional data.
    Monti GS; Filzmoser P
    Bioinformatics; 2021 Nov; 37(21):3805-3814. PubMed ID: 34358286
    [TBL] [Abstract][Full Text] [Related]  

  • 8. It's all relative: analyzing microbiome data as compositions.
    Gloor GB; Wu JR; Pawlowsky-Glahn V; Egozcue JJ
    Ann Epidemiol; 2016 May; 26(5):322-9. PubMed ID: 27143475
    [TBL] [Abstract][Full Text] [Related]  

  • 9. gmcoda: Graphical model for multiple compositional vectors in microbiome studies.
    Fang H
    Bioinformatics; 2023 Nov; 39(11):. PubMed ID: 37975866
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A joint modeling approach for longitudinal microbiome data improves ability to detect microbiome associations with disease.
    Luna PN; Mansbach JM; Shaw CA
    PLoS Comput Biol; 2020 Dec; 16(12):e1008473. PubMed ID: 33315858
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A two-part mixed-effects model for analyzing longitudinal microbiome compositional data.
    Chen EZ; Li H
    Bioinformatics; 2016 Sep; 32(17):2611-7. PubMed ID: 27187200
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Approximation of a Microbiome Composition Shift by a Change in a Single Balance Between Two Groups of Taxa.
    Odintsova VE; Klimenko NS; Tyakht AV
    mSystems; 2022 Jun; 7(3):e0015522. PubMed ID: 35532211
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A logistic normal multinomial regression model for microbiome compositional data analysis.
    Xia F; Chen J; Fung WK; Li H
    Biometrics; 2013 Dec; 69(4):1053-63. PubMed ID: 24128059
    [TBL] [Abstract][Full Text] [Related]  

  • 14. KERNEL-PENALIZED REGRESSION FOR ANALYSIS OF MICROBIOME DATA.
    Randolph TW; Zhao S; Copeland W; Hullar M; Shojaie A
    Ann Appl Stat; 2018 Mar; 12(1):540-566. PubMed ID: 30224943
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis.
    Fernandes AD; Reid JN; Macklaim JM; McMurrough TA; Edgell DR; Gloor GB
    Microbiome; 2014; 2():15. PubMed ID: 24910773
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Compositional knockoff filter for high-dimensional regression analysis of microbiome data.
    Srinivasan A; Xue L; Zhan X
    Biometrics; 2021 Sep; 77(3):984-995. PubMed ID: 32683674
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Zero-inflated generalized Dirichlet multinomial regression model for microbiome compositional data analysis.
    Tang ZZ; Chen G
    Biostatistics; 2019 Oct; 20(4):698-713. PubMed ID: 29939212
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Statistical Analysis of Metagenomics Data.
    Calle ML
    Genomics Inform; 2019 Mar; 17(1):e6. PubMed ID: 30929407
    [TBL] [Abstract][Full Text] [Related]  

  • 19. gCoda: Conditional Dependence Network Inference for Compositional Data.
    Fang H; Huang C; Zhao H; Deng M
    J Comput Biol; 2017 Jul; 24(7):699-708. PubMed ID: 28489411
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Microbiome Datasets Are Compositional: And This Is Not Optional.
    Gloor GB; Macklaim JM; Pawlowsky-Glahn V; Egozcue JJ
    Front Microbiol; 2017; 8():2224. PubMed ID: 29187837
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.