What is Mass-Up?
- Data visualization
 - Quality Control
 - Biomarker Discovery
 - PCA
 - Clustering
 - Biclustering
 - Machine-Learning Classification
 
 
 
 
 
 
 
 
 Data input
					Mass-Up loads data from:
- mzML
 - mzXML
 - CSV
 
 Analysis
					Mass-Up includes the following analyses:
- Quality Control
 - Biomarker discovery
 - Principal Component Analysis
 - Hierarchical clustering
 - Biclustering
 - Machine-Learning classification analysis
 
 Preprocessing
					Mass-Up includes the following preprocessing tasks:
- Baseline correction
 - Normalization
 - Smoothing
 - Peak detection
 - Peak matching
 
 Fueled by the open-source community
					Mass-Up uses the state-of-the art libraries, including: jmzReader, MALDIquant, MassSpecWavelet, jzy3d, Weka, Java TreeView, BiMS (Biclustering for Mass Spectrometry), The Apache Commons Mathematics Library, and the AIBench Framework.
				            
					            Mass-Up is open source with license GPLv3
				   
Citing Mass-Up
If you use Mass-Up, please, cite this article:
H. López-Fdez; H.M. Santos; J.L. Capelo; F. Fdez-Riverola; D. Glez-Peña; M. Reboiro-Jato (2015) Mass-Up: an all-in-one open software application for MALDI-TOF mass spectrometry knowledge discovery. BMC Bioinformatics. 16:318. ISSN: 1471-2105