normalize_omics

Provides unified workflows for quality control, normalization, and visualization of proteomic and metabolomic data. The package simplifies preprocessing through automated imputation, scaling, and principal component analysis (PCA)-based exploratory analysis, enabling researchers to prepare omics datasets efficiently for downstream statistical and machine learning analyses.

Isaac Osei

OmicsPrepR

Unified Preprocessing Toolkit for Proteomics and Metabolomics

Dennis Opoku Boadu

Chettupally Anil Carie

normalize_omics function

<dl><dt>data</dt>
<dd>A numeric data frame of omics values.</dd>
<dt>method</dt>
<dd>Normalization method ("zscore", "log2", "quantile").</dd></dl>

Arguments

Normalize Omics Data — normalize_omics

<dl>

<dt>data</dt>
<dd>A numeric data frame of omics values.</dd>


<dt>method</dt>
<dd>Normalization method ("zscore", "log2", "quantile").</dd>

</dl>

normalize_omics: Normalize Omics Data

Description

Usage

Value

Arguments