lefser: R implementation of the LEfSe method

In HuaZou/MyRtools: Statistic Approaches on Data Analysis

Description

Perform a LEfSe analysis: the function carries out differential analysis between two sample groups for multiple microorganisms and uses linear discirminant analysis to establish their effect sizes. Subclass information for each class can be incorporated into the analysis (see examples). Microorganisms with large differences between two sample groups are identified as biomarkers.

Usage

lefser(
  expr,
  kruskal.threshold = 0.05,
  wilcox.threshold = 0.05,
  lda.threshold = 2,
  groupCol = "GROUP",
  blockCol = NULL,
  assay = 1L,
  trim.names = FALSE
)

Arguments

expr	A SummarizedExperiment with expression data.
kruskal.threshold	numeric(1) The p-value for the Kruskal-Wallis Rank Sum Test (default 0.05).
wilcox.threshold	numeric(1) The p-value for the Wilcoxon Rank-Sum Test when 'blockCol' is present (default 0.05).
lda.threshold	numeric(1) The effect size threshold (default 2.0).
groupCol	character(1) Column name in 'colData(expr)' indicating groups, usually a factor with two levels (e.g., 'c("cases", "controls")'; default "GROUP").
blockCol	character(1) Optional column name in 'colData(expr)' indicating the blocks, usually a factor with two levels (e.g., 'c("adult", "senior")'; default NULL).
assay	The i-th assay matrix in the ‘SummarizedExperiment' (’expr'; default 1).
trim.names	If 'TRUE' extracts the most specific taxonomic rank of organism.

Value

The function returns a dataframe with two columns, which are names of microorganisms and their LDA scores.

HuaZou/MyRtools documentation built on Jan. 6, 2022, 8:56 a.m.