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