Cargando…
Shrinkage improves estimation of microbial associations under different normalization methods
Estimation of statistical associations in microbial genomic survey count data is fundamental to microbiome research. Experimental limitations, including count compositionality, low sample sizes and technical variability, obstruct standard application of association measures and require data normaliz...
Autores principales: | Badri, Michelle, Kurtz, Zachary D, Bonneau, Richard, Müller, Christian L |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7745771/ https://www.ncbi.nlm.nih.gov/pubmed/33575644 http://dx.doi.org/10.1093/nargab/lqaa100 |
Ejemplares similares
-
On Reverse Shrinkage Effects and Shrinkage Overshoot
por: Jordan, Pascal
Publicado: (2022) -
Shrinkage-based Random Local Clocks with Scalable Inference
por: Fisher, Alexander A, et al.
Publicado: (2023) -
Shrinkage estimation
por: Fourdrinier, Dominique, et al.
Publicado: (2018) -
Sparse and Compositionally Robust Inference of Microbial Ecological Networks
por: Kurtz, Zachary D., et al.
Publicado: (2015) -
Fungi stabilize connectivity in the lung and skin microbial ecosystems
por: Tipton, Laura, et al.
Publicado: (2018)