Abstract
Despite the availability of batch effect correcting algorithms (BECA), no comprehensive tool that combines batch correction and evaluation of the results exists for microbiome datasets. This work outlines the Microbiome Batch Effects Correction Suite development that integrates several BECAs and evaluation metrics into a software package for the statistical computation framework R. © 2023, The Author(s).
| Original language | British English |
|---|---|
| Journal | BMC Bioinform. |
| Volume | 24 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2023 |
Keywords
- Batch effects
- Bioconductor
- Microbiome
- phyloseq
- R-package
- Algorithms
- Microbiota
- Software
- Molecular biology
- Batch effect
- Bioconductors
- Effect corrections
- Evaluation metrics
- Phyloseq
- Statistical computations
- algorithm
- article
- microbiome
- nonhuman
- software
- microflora
- Biotechnology