lefser is the R implementation of the popular microbiome biomarker discovery too, LEfSe. It uses the Kruskal-Wallis test, Wilcoxon-Rank Sum test, and Linear Discriminant Analysis to find …

Feb 20, 2025 · The lefser function returns a data.frame with two columns - the names of selected features (the features column) and their effect size (the scores column). There is a random …

Oct 11, 2024 · Package ‘lefser’ March 31, 2025 Type Package Title R implementation of the LEfSE method for microbiome biomarker discovery Description lefser is the R implementation …

lefser is the R implementation of the Python package, Linear discriminant analysis (LDA) Effect Size . LEfSe is the most widely used Python package and Galaxy module for metagenomic …

lefser is the R implementation of the Linear discriminant analysis (LDA) Effect Size , a Python package for metagenomic biomarker discovery and explanation. (Huttenhower et al. 2011).

lefser is the R implementation of the Python package, Linear discriminant analysis (LDA) Effect Size . LEfSe is the most widely used Python package and Galaxy module for metagenomic …

Nov 28, 2024 · We present the lefser package to provide comparable functionality within the R/Bioconductor ecosystem of statistical analysis tools, with improvements to the original …

lefser.Rd Perform a LEfSe analysis: the function carries out differential analysis between two sample classes for multiple features and uses linear discriminant analysis to establish their …

lefser: R implementation of the LEfSE method for microbiome biomarker ...

Nov 8, 2020 · View source: R/lefser.R Description Perform a LEfSe analysis: the function carries out differential analysis between two sample groups for multiple microorganisms and uses …