filter_good_features

filter to keep only 'good' features

A feature clustering algorithm for non-targeted mass spectrometric metabolomics data. This method is compatible with gas and liquid chromatography coupled mass spectrometry, including indiscriminant tandem mass spectrometry data <DOI: 10.1021/ac501530d>.

Helge Hecht

RAMClustR

Mass Spectrometry Metabolomics Feature Clustering and
Interpretation

Corey D. Broeckling

Fayyaz Afsar

Steffen Neumann

Asa Ben-Hur

Jessica Prenni

Matej Trojak

Zargham Ahmad

filter_good_features function

<dl><dt>ramclustObj</dt>
<dd>ramclustObj containing MSdata with optional MSMSdata (MSe, DIA, idMSMS)</dd>
<dt>keep</dt>
<dd>features to keep. output of find_good_features().</dd></dl>

Arguments

filter_good_features — filter_good_features

<dl>

<dt>ramclustObj</dt>
<dd>ramclustObj containing MSdata with optional MSMSdata (MSe, DIA, idMSMS)</dd>


<dt>keep</dt>
<dd>features to keep. output of find_good_features().</dd>

</dl>

filter_good_features: filter_good_features

Description

Usage

Value

Arguments