median_normalisation

<p><a href="https://lifecycle.r-lib.org/articles/stages.html#deprecated"><img src="figures/lifecycle-deprecated.svg?package=protti&version=0.9.0" alt="[Deprecated]"></a>
This function was deprecated due to its name changing to <code>normalise()</code>.
The normalisation method in the new function needs to be provided as an argument.</p>

internal

Useful functions and workflows for proteomics quality control and data analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS) (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up proteomics experiments. Data generated with search tools such as 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to flexibility of functions.

Jan-Philipp Quast

protti

Bottom-Up Proteomics and LiP-MS Quality Control and Data
Analysis Tools

Dina Schuster

ETH Zurich 

median_normalisation function

<p><a href='https://lifecycle.r-lib.org/articles/stages.html#deprecated'><img src='figures/lifecycle-deprecated.svg' alt='[Deprecated]' /></a>
This function was deprecated due to its name changing to <code>normalise()</code>.
The normalisation method in the new function needs to be provided as an argument.</p>

median_normalisation: Intensity normalisation

Description

Usage

Arguments

Value