Pages that link to "Item:Q1622658"
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The following pages link to Statistical analysis of microbiome data with R (Q1622658):
Displaying 10 items.
- Statistical models and computational algorithms for discovering relationships in microbiome data (Q523934) (← links)
- Modeling sparse data using MLE with applications to microbiome data (Q2136030) (← links)
- A Bayesian framework for identifying consistent patterns of microbial abundance between body sites (Q2195285) (← links)
- Statistical analysis of microbiome data with R. YinglinXia, JunSun, Ding‐GenChen. (2018). Singapore: Springer. 505 pages, ISBN: 978‐981‐13‐1533‐6 (Q5213431) (← links)
- Zero-inflated models for adjusting varying exposures: a cautionary note on the pitfalls of using offset (Q5861270) (← links)
- Joint modeling of zero‐inflated longitudinal proportions and time‐to‐event data with application to a gut microbiome study (Q6055724) (← links)
- It's All Relative: Regression Analysis with Compositional Predictors (Q6055885) (← links)
- Assessing mediating effects of high‐dimensional microbiome measurements in dietary intervention studies (Q6064183) (← links)
- A sparse Bayesian hierarchical vector autoregressive model for microbial dynamics in a wastewater treatment plant (Q6111538) (← links)
- FDR control for linear log-contrast models with high-dimensional compositional covariates (Q6626696) (← links)
