initialize_results_df

Processing and analyzing omics data from genomics, transcriptomics, proteomics, and metabolomics platforms. It provides functions for preprocessing, normalization, visualization, and statistical analysis, as well as machine learning algorithms for predictive modeling. 'omicsTools' is an essential tool for researchers working with high-throughput omics data in fields such as biology, bioinformatics, and medicine.The QC-RLSC (quality control–based robust LOESS signal correction) algorithm is used for normalization. Dunn et al. (2011) <doi:10.1038/nprot.2011.335>.

Yaoxiang Li

omicsTools

Omics Data Process Toolbox

initialize_results_df function

<dl><dt>data</dt>
<dd>The data frame containing the generated data.</dd></dl>

Arguments

Initialize Results Data Frame — initialize_results_df

<dl>

<dt>data</dt>
<dd>The data frame containing the generated data.</dd>

</dl>

initialize_results_df: Initialize Results Data Frame

Description

Usage

Value

Arguments

Examples