3 papers
stat.ML2019
forgeNet: A graph deep neural network model using tree-based ensemble classifiers for feature extraction
Yunchuan Kong, Tianwei Yu
A unique challenge in predictive model building for omics data has been the small number of samples versus the large amount of features . This "" property brings…
stat.ML2018
A graph-embedded deep feedforward network for disease outcome classification and feature selection using gene expression data
Yunchuan Kong, Tianwei Yu
Gene expression data represents a unique challenge in predictive model building, because of the small number of samples compared to the huge amount of features . This "$…
stat.ML2017
A Bayesian Method for Joint Clustering of Vectorial Data and Network Data
Yunchuan Kong, Xiaodan Fan
We present a new model-based integrative method for clustering objects given both vectorial data, which describes the feature of each object, and network data, which indicates the…