Cargando…
BZINB model-based pathway analysis and module identification facilitates integration of microbiome and metabolome data
Integration of multi-omics data is a challenging but necessary step to advance our understanding of the biology underlying human health and disease processes. To date, investigations seeking to integrate multi-omics (e.g., microbiome and metabolome) employ simple correlation-based network analyses;...
Autores principales: | Lin, Bridget, Cho, Hunyong, Liu, Chuwen, Roach, Jeff, Ribeiro, Apoena Aguiar, Divaris, Kimon, Wu, Di |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9915478/ https://www.ncbi.nlm.nih.gov/pubmed/36778424 http://dx.doi.org/10.1101/2023.01.30.526301 |
Ejemplares similares
-
BZINB Model-Based Pathway Analysis and Module Identification Facilitates Integration of Microbiome and Metabolome Data
por: Lin, Bridget M., et al.
Publicado: (2023) -
Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data
por: Cho, Hunyong, et al.
Publicado: (2023) -
The bacterial microbiome and metabolome in caries progression and arrest
por: da Costa Rosa, Thamirys, et al.
Publicado: (2021) -
Selenomonas sputigena acts as a pathobiont mediating spatial structure and biofilm virulence in early childhood caries
por: Cho, Hunyong, et al.
Publicado: (2023) -
Improved Metabolite Prediction Using Microbiome Data-Based Elastic Net Models
por: Xie, Jialiu, et al.
Publicado: (2021)