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StructFDR (version 1.4)

False Discovery Control Procedure Integrating the Prior Structure Information

Description

Perform more powerful false discovery control (FDR) for microbiome data, taking into account the prior phylogenetic relationship among bacteria species. As a general methodology, it is applicable to any type of (genomic) data with prior structure information.

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Version

Install

install.packages('StructFDR')

Monthly Downloads

33

Version

1.4

License

GPL-2

Maintainer

Jun Chen

Last Published

March 14th, 2024

Functions in StructFDR (1.4)

throat.parameter

Dirichlet parameters used for generating the artificial data sets.
Ztransform

Transform P-values to Z-values
AdjStats

Prior Structure-Adjusted Statistic
SimulateData

Data Simulation Function to Study the Performance of TreeFDR.
StructFDR

False Discovery Rate (FDR) Control Integrating a General Prior Structure
EstHyper

Estimate the Hyper-parameter Using Generalized Least Squares
alcohol

Alcohol data set
MicrobiomeSeqTreeFDR

False Discovery Rate (FDR) Control Integrating Prior Tree Structure for Microbiome Data Based on F-test and Residual Permutation.
TreeFDR

False Discovery Rate (FDR) Control Integrating Prior Tree Structure for Microbiome Data