Statistical analysis of microbiome data with R
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Publication:1622658
DOI10.1007/978-981-13-1534-3zbMath1407.62024OpenAlexW2894661298MaRDI QIDQ1622658
Publication date: 19 November 2018
Published in: ICSA Book Series in Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-981-13-1534-3
Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10) Research exposition (monographs, survey articles) pertaining to statistics (62-02) Genetics and population dynamics (92D99)
Related Items (8)
Modeling sparse data using MLE with applications to microbiome data ⋮ Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study ⋮ It's All Relative: Regression Analysis with Compositional Predictors ⋮ Assessing mediating effects of high‐dimensional microbiome measurements in dietary intervention studies ⋮ A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant ⋮ A Bayesian framework for identifying consistent patterns of microbial abundance between body sites ⋮ An R package AZIAD for analysing zero-inflated and zero-altered data ⋮ Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset
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