PMLfdr: Poisson GLM Mixture for Testing Significant Features in HTS Data

✨ Overview

PMLfdr provides flexible tools for modeling and multiple testing procedures, including Poisson GLM mixture models and local false discovery rate (Lfdr) approaches, tailored for large-scale HTS data.

This package was developed to address challenges such as overdispersion, small sample sizes, and inefficient control of error rates.

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💡 Features

• Efficient EM algorithm for Poisson GLM mixture models
• Adaptive local false discovery rate procedure
• Visualization functions

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🔧 Installation

You can install the development version from GitHub:

# install.packages("devtools")
devtools::install_github("ekaasare/PMLfdr")