Cargando…
A zero inflated log-normal model for inference of sparse microbial association networks
The advent of high-throughput metagenomic sequencing has prompted the development of efficient taxonomic profiling methods allowing to measure the presence, abundance and phylogeny of organisms in a wide range of environmental samples. Multivariate sequence-derived abundance data further has the pot...
Autores principales: | Prost, Vincent, Gazut, Stéphane, Brüls, Thomas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8244920/ https://www.ncbi.nlm.nih.gov/pubmed/34143768 http://dx.doi.org/10.1371/journal.pcbi.1009089 |
Ejemplares similares
-
Binning unassembled short reads based on k-mer abundance covariance using sparse coding
por: Kyrgyzov, Olexiy, et al.
Publicado: (2020) -
Structural zeroes and zero-inflated models
por: HE, Hua, et al.
Publicado: (2014) -
Identification of microbial interaction network: zero-inflated latent Ising model based approach
por: Zhou, Jie, et al.
Publicado: (2020) -
A comparison of zero-inflated and hurdle models for modeling zero-inflated count data
por: Feng, Cindy Xin
Publicado: (2021) -
Sparse and Compositionally Robust Inference of Microbial Ecological Networks
por: Kurtz, Zachary D., et al.
Publicado: (2015)