Cargando…
GMEmbeddings: An R Package to Apply Embedding Techniques to Microbiome Data
Large-scale microbiome studies investigating disease-inducing microbial roles base their findings on differences between microbial count data in contrasting environments (e.g., stool samples between cases and controls). These microbiome survey studies are often impeded by small sample sizes and data...
Autores principales: | Tataru, Christine, Eaton, Austin, David, Maude M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580954/ https://www.ncbi.nlm.nih.gov/pubmed/36304322 http://dx.doi.org/10.3389/fbinf.2022.828703 |
Ejemplares similares
-
Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease
por: Tataru, Christine A., et al.
Publicado: (2020) -
Correction: Decoding the language of microbiomes using word-embedding techniques, and applications in inflammatory bowel disease
por: Tataru, Christine A., et al.
Publicado: (2020) -
The seeker R package: simplified fetching and processing of transcriptome data
por: Schoenbachler, Joshua L., et al.
Publicado: (2022) -
pcr: an R package for quality assessment, analysis and testing of qPCR data
por: Ahmed, Mahmoud, et al.
Publicado: (2018) -
lab: an R package for generating analysis-ready data from laboratory records
por: Tseng, Yi-Ju, et al.
Publicado: (2023)