OmicsData-class

A class to represent and analyze high-dimensional omics data.

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

OmicsData-class function

<dl>
<dt><code>data</code></dt>
<dd>The data frame containing the generated data with anomalies.</dd></dl>
<dt><code>anomaly_measures</code></dt>
<dd>The data frame containing the calculated anomaly measures.</dd>
<dt><code>thresholds</code></dt>
<dd>The list of thresholds for anomaly detection.</dd>

Slots

OmicsData Class — OmicsData-class

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


<dt><code>anomaly_measures</code></dt>
<dd>The data frame containing the calculated anomaly measures.</dd>


<dt><code>thresholds</code></dt>
<dd>The list of thresholds for anomaly detection.</dd>


</dl>

OmicsData-class: OmicsData Class

Description

Arguments

Slots