EBprot is a statistical tool for differential expression of proteins in labeling-based proteomics experiments. The tool directly models the distribution of peptide-level ratios and scores each protein based on consistent evidence across the peptides, in contrast to the common practice of assigning p-values to protein-level ratios which loses reproducibility information.
The modules presented here contain an improved extension of EBprot (version 1) offering flexible semi-parametric modeling which is more robust in handling heavily skewed or multi-modal data, like ratio data.
The principal method (version 1) was published here (Koh et al, Proteomics 2015).
This tool is available as C++ implementation and as a plugin for Perseus (GUI for Windows users only).
See the Wiki for full documentation.
See C++ for C++ implementation.
See Perseus-Plugin for the plugin implementation of Perseus software package.
For bugs, questions and discussions please use the GitHub Issues.
Copyright (C) <2018> Hiromi W.L. Koh < hiromi_koh@nuhs.edu.sg >, Yunbin Zhang < yz2236@nyu.edu >, Christine Vogel < cvogel@nyu.edu >, and Hyungwon Choi < hwchoi@nus.edu.sg >, National University of Singapore.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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