Learning a single-hidden layer feedforward neural network using a rank correlation-based strategy with application to high dimensional gene expression and proteomic spectra datasets in cancer detection.
Smaranda BelciugFlorin GorunescuPublished in: J. Biomed. Informatics (2018)
Keyphrases
- feedforward neural networks
- single hidden layer
- gene expression
- neural network
- extreme learning machine
- gene expression data
- hidden layer
- high dimensional
- microarray data
- activation function
- recurrent neural networks
- gene selection
- error function
- cancer detection
- back propagation
- microarray
- learning algorithm
- feed forward
- variable selection
- hidden neurons
- data sets
- gene expression profiles
- training data
- data points
- artificial neural networks