MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets.
Kristen M. NaegleRoy E. WelschMichael B. YaffeForest M. WhiteDouglas A. LauffenburgerPublished in: PLoS Comput. Biol. (2011)
Keyphrases
- high throughput
- clustering analysis
- microarray
- genome wide
- experimental conditions
- microarray datasets
- mass spectrometry data
- biological data
- gene expression
- systems biology
- gene expression profiles
- microarray data
- genomic data
- gene expression data
- proteomic data
- protein protein interactions
- mass spectrometry
- data mining
- data clustering
- cluster analysis
- data sets
- fuzzy clustering
- data management
- knowledge discovery