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.AP2017★ 1 cited
DCA: Dynamic Correlation Analysis
Tianwei Yu
In high-throughput data, dynamic correlation between genes, i.e. changing correlation patterns under different biological conditions, can reveal important regulatory mechanisms. Gi…
stat.AP2014★ 10 cited
A Bayesian nonparametric mixture model for selecting genes and gene subnetworks
Yize Zhao, Jian Kang, Tianwei Yu
It is very challenging to select informative features from tens of thousands of measured features in high-throughput data analysis. Recently, several parametric/regression models h…