A comprehensive analysis about the influence of low-level preprocessing techniques on mass spectrometry data for sample classification.
Hugo López-FernándezMiguel Reboiro-JatoDaniel Glez-PeñaFlorentino Fernández RiverolaPublished in: Int. J. Data Min. Bioinform. (2014)
Keyphrases
- comprehensive analysis
- preprocessing
- mass spectrometry data
- low level
- pattern classification
- classification accuracy
- feature extraction
- high level
- pattern recognition
- decision trees
- feature vectors
- support vector
- image classification
- cancer classification
- feature selection
- rule learning
- machine learning
- benchmark datasets
- training samples
- unsupervised learning
- training set
- mass spectrometry
- ensemble methods
- high speed
- high throughput
- support vector machine svm
- text classification
- real time
- high dimensional
- neural network