clustering

EIC extraction based on previous partitions generated by partitioning

internal

Lipid annotation in untargeted LC-MS lipidomics based on fragmentation rules. Alcoriza-Balaguer MI, Garcia-Canaveras JC, Lopez A, Conde I, Juan O, Carretero J, Lahoz A (2019) <doi:10.1021/acs.analchem.8b03409>.

M Alcoriza-Balaguer

LipidMS

Lipid Annotation for LC-MS/MS DDA or DIA Data

clustering function

<dl><dt>msobject</dt>
<dd>msobject generated by partitioning</dd>
<dt>dmzagglom</dt>
<dd>mz tolerance for clusters</dd>
<dt>drtclust</dt>
<dd>RT window for clusters</dd>
<dt>minpeak</dt>
<dd>minimum number of measures to define a peak</dd>
<dt>mslevel</dt>
<dd>info to access msobject</dd>
<dt>cE</dt>
<dd>info to access msobject</dd></dl>

Arguments

M Isabel Alcoriza-Balaguer &lt;maribel_alcoriza@iislafe.es&gt;

Author

EIC extraction based on previous partitions generated by partitioning — clustering

<dl>

<dt>msobject</dt>
<dd>msobject generated by partitioning</dd>


<dt>dmzagglom</dt>
<dd>mz tolerance for clusters</dd>


<dt>drtclust</dt>
<dd>RT window for clusters</dd>


<dt>minpeak</dt>
<dd>minimum number of measures to define a peak</dd>


<dt>mslevel</dt>
<dd>info to access msobject</dd>


<dt>cE</dt>
<dd>info to access msobject</dd>

</dl>

clustering: EIC extraction based on previous partitions generated by partitioning

Description

Usage

Value

Arguments

Author

References