Name
Title | ||
|---|---|---|
NetWeAvers: an R package for integrative biological network analysis with mass spectrometry data. |
Abstract | ||
|---|---|---|
The discovery of functionally related groups in a set of significantly abundant proteins from a mass spectrometry experiment is an important step in a proteomics analysis pipeline. Here we describe NetWeAvers (Network Weighted Averages) for analyzing groups of regulated proteins in a network context, e. g. as defined by clusters of protein-protein interactions. NetWeAvers is an R package that provides a novel method for analyzing proteomics data integrated with biological networks. The method includes an algorithm for finding dense clusters of proteins and a permutation algorithm to calculate cluster P-values. Optional steps include summarizing quantified peptide values to single protein values and testing for differential expression, such that the data input can simply be a list of identified and quantified peaks. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1093/bioinformatics/btt513 | BIOINFORMATICS |
Field | DocType | Volume |
Cluster (physics),Data mining,Differential expression,Proteomics,Computer science,Biological network,Permutation,Software,Mass spectrometry,Bioinformatics,R package | Journal | 29 |
Issue | ISSN | Citations |
22 | 1367-4803 | 1 |
PageRank | References | Authors |
0.37 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Elizabeth A. McClellan | 1 | 1 | 1.04 |
| Perry D. Moerland | 2 | 31 | 3.30 |
| Peter Van Der Spek | 3 | 37 | 3.12 |
| Andrew Stubbs | 4 | 1 | 0.37 |