MBECS: Microbiome Batch Effects Correction Suite: BMC Bioinformatics

M. Olbrich, A. Künstner, H. Busch

    Research output: Contribution to journalArticlepeer-review

    1 Scopus citations

    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 languageBritish English
    JournalBMC Bioinform.
    Volume24
    Issue number1
    DOIs
    StatePublished - 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

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