10 citations · 18 across the 7 of their papers we have counts for
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stat.AP2019
Autoencoder-based integrative multi-omics data embedding that allows for confounder adjustments
Tianwei Yu
In the integrative analyses of omics data, it is often of interest to extract data representation from one data type that best reflect its relations with another data type. This ta…
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…