meanInt

Estimates protein abundances by averaging all associated ion intensities

An implementation of the MaxLFQ algorithm by
Cox et al. (2014) <doi:10.1074/mcp.M113.031591> in a comprehensive
pipeline for processing proteomics data in data-independent acquisition mode
(Pham et al. 2020 <doi:10.1093/bioinformatics/btz961>).
It offers additional options for protein quantification using
the N most intense fragment ions, using all fragment ions, and
a wrapper for the median polish algorithm by Tukey (1977, ISBN:0201076160).
In general, the tool can be used to integrate multiple
proportional observations into a single quantitative value.

Thang Pham

Protein Quantification in Mass Spectrometry-Based Proteomics

Alex Henneman

meanInt function

<dl> <dt>X</dt>
<dd>A matrix of ion intensities in log2 space. Columns are samples and rows are fragment ions.</dd> <dt>aggregation_in_log_space</dt>
<dd>A logical value. If <code>FALSE</code>, the data aggregation is performed in the original intensity space.</dd></dl>

Arguments

Author

The meanInt algorithm for protein quantification — meanInt

<dl>

 <dt>X</dt>
<dd>A matrix of ion intensities in log2 space. Columns are samples and rows are fragment ions.</dd>

 <dt>aggregation_in_log_space</dt>
<dd>A logical value. If <code>FALSE</code>, the data aggregation is performed in the original intensity space.</dd>

</dl>

meanInt: The meanInt algorithm for protein quantification

Description

Usage

Value

Arguments

Author

References