OmicsPrepR

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Authors

• Isaac Osei – Maintainer (ikemillar65@gmail.com)
• Dennis Opoku Boadu – Author
• Chettupally Anil Carie – Author

Overview

OmicsPrepR is an integrated R package that provides unified workflows for quality control, normalization, and visualization of proteomic and metabolomic data.
It simplifies preprocessing through automated imputation, scaling, and PCA-based exploratory analysis, enabling efficient preparation of omics datasets for downstream statistical and machine learning analyses.

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Installation

You can install the development version directly from GitHub:

```r # install.packages(“devtools”) devtools::install_github(“ikemillar/OmicsPrepR”)

library(OmicsPrepR)

Load omics dataset

omics_data <- load_omics(“data.csv”)

Impute missing values

omics_imputed <- impute_missing(omics_data)

Export cleaned dataset

export_clean(omics_imputed, “cleaned_data.csv”)

Visualize PCA structure

plot_omics(omics_imputed)