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06/18/2019
Learning data representation using modified autoencoder for the integrative analysis of multi-omics data
In integrative analyses of omics data, it is often of interest to extrac...
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05/23/2019
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction
A unique challenge in predictive model building for omics data has been ...
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09/29/2018
Bayesian network marker selection via the thresholded graph Laplacian Gaussian prior
Selecting informative nodes over large-scale networks becomes increasing...
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01/18/2018
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data
Gene expression data represents a unique challenge in predictive model b...
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01/20/2016