evalObj-class

evalObj

A custom class for storing the chromatographic peak data required by the peak metric functions for each group of samples.

Utilizes 11 peak quality metrics and 8 diverse machine learning algorithms to build a classifier for the automatic
assessment of peak integration quality of peaks from untargeted metabolomics analyses.
The 12 peak quality metrics were adapted from those defined in the following references:
Zhang, W., & Zhao, P.X. (2014) <doi:10.1186/1471-2105-15-S11-S5>
Toghi Eshghi, S., Auger, P., & Mathews, W.R. (2018) <doi:10.1186/s12014-018-9209-x>.

Kelsey Chetnik

MetaClean

Detection of Low-Quality Peaks in Untargeted Metabolomics Data

evalObj-class function

<dl class="dl-horizontal">
<dt><code>eicPts</code></dt><dd>A list of 2D matrices containing the retention time and intensity values of each chromatographic peak</dd></dl><dt><code>eicPeakData</code></dt><dd>A list of vectors for each sample in the group containing characteristic information about each chromatographic peak</dd><dt><code>eicNos</code></dt><dd>A numeric vector of the EIC numbers identifying each feature group</dd>

evalObj-class: A custom class for storing the chromatographic peak data required by the peak metric functions for each group of samples.

Description

Arguments

Slots