187 related articles for article (PubMed ID: 33552122)
1. A Zero-Inflated Latent Dirichlet Allocation Model for Microbiome Studies.
Deek RA; Li H
Front Genet; 2020; 11():602594. PubMed ID: 33552122
[TBL] [Abstract][Full Text] [Related]
2. Testing latent class of subjects with structural zeros in negative binomial models with applications to gut microbiome data.
Ye P; Qiao X; Tang W; Wang C; He H
Stat Methods Med Res; 2022 Nov; 31(11):2237-2254. PubMed ID: 35899309
[TBL] [Abstract][Full Text] [Related]
3. Bayesian variable selection for multivariate zero-inflated models: Application to microbiome count data.
Lee KH; Coull BA; Moscicki AB; Paster BJ; Starr JR
Biostatistics; 2020 Jul; 21(3):499-517. PubMed ID: 30590511
[TBL] [Abstract][Full Text] [Related]
4. Assessment and Selection of Competing Models for Zero-Inflated Microbiome Data.
Xu L; Paterson AD; Turpin W; Xu W
PLoS One; 2015; 10(7):e0129606. PubMed ID: 26148172
[TBL] [Abstract][Full Text] [Related]
5. Testing latent classes in gut microbiome data using generalized Poisson regression models.
Qiao X; He H; Sun L; Bai S; Ye P
Stat Med; 2024 Jan; 43(1):102-124. PubMed ID: 37921025
[TBL] [Abstract][Full Text] [Related]
6. Modelling of zero-inflation improves inference of metagenomic gene count data.
Jonsson V; Österlund T; Nerman O; Kristiansson E
Stat Methods Med Res; 2019 Dec; 28(12):3712-3728. PubMed ID: 30474490
[TBL] [Abstract][Full Text] [Related]
7. GMPR: A robust normalization method for zero-inflated count data with application to microbiome sequencing data.
Chen L; Reeve J; Zhang L; Huang S; Wang X; Chen J
PeerJ; 2018; 6():e4600. PubMed ID: 29629248
[TBL] [Abstract][Full Text] [Related]
8. A GLM-based zero-inflated generalized Poisson factor model for analyzing microbiome data.
Chi J; Ye J; Zhou Y
Front Microbiol; 2024; 15():1394204. PubMed ID: 38873138
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Microbial Networks in SPRING - Semi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data.
Yoon G; Gaynanova I; Müller CL
Front Genet; 2019; 10():516. PubMed ID: 31244881
[TBL] [Abstract][Full Text] [Related]
11. HARMONIES: A Hybrid Approach for Microbiome Networks Inference via Exploiting Sparsity.
Jiang S; Xiao G; Koh AY; Chen Y; Yao B; Li Q; Zhan X
Front Genet; 2020; 11():445. PubMed ID: 32582274
[TBL] [Abstract][Full Text] [Related]
12. MarZIC: A Marginal Mediation Model for Zero-Inflated Compositional Mediators with Applications to Microbiome Data.
Wu Q; O'Malley J; Datta S; Gharaibeh RZ; Jobin C; Karagas MR; Coker MO; Hoen AG; Christensen BC; Madan JC; Li Z
Genes (Basel); 2022 Jun; 13(6):. PubMed ID: 35741811
[TBL] [Abstract][Full Text] [Related]
13. A strategy for differential abundance analysis of sparse microbiome data with group-wise structured zeros.
Abegaz F; Abedini D; White F; Guerrieri A; Zancarini A; Dong L; Westerhuis JA; van Eeuwijk F; Bouwmeester H; Smilde AK
Sci Rep; 2024 May; 14(1):12433. PubMed ID: 38816496
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Modelling count data with excessive zeros: the need for class prediction in zero-inflated models and the issue of data generation in choosing between zero-inflated and generic mixture models for dental caries data.
Gilthorpe MS; Frydenberg M; Cheng Y; Baelum V
Stat Med; 2009 Dec; 28(28):3539-53. PubMed ID: 19902494
[TBL] [Abstract][Full Text] [Related]
16. Bayesian clustering of multiple zero-inflated outcomes.
Franzolini B; Cremaschi A; van den Boom W; De Iorio M
Philos Trans A Math Phys Eng Sci; 2023 May; 381(2247):20220145. PubMed ID: 36970823
[TBL] [Abstract][Full Text] [Related]
17. A Bayesian nonparametric analysis for zero-inflated multivariate count data with application to microbiome study.
Shuler K; Verbanic S; Chen IA; Lee J
J R Stat Soc Ser C Appl Stat; 2021 Aug; 70(4):961-979. PubMed ID: 37440868
[TBL] [Abstract][Full Text] [Related]
18. Zero-Inflated gaussian mixed models for analyzing longitudinal microbiome data.
Zhang X; Guo B; Yi N
PLoS One; 2020; 15(11):e0242073. PubMed ID: 33166356
[TBL] [Abstract][Full Text] [Related]
19. Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros.
Kassahun W; Neyens T; Molenberghs G; Faes C; Verbeke G
Stat Med; 2014 Nov; 33(25):4402-19. PubMed ID: 24957791
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]