13 citations · 25 across the 6 of their papers we have counts for
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stat.AP2021
Outcome-guided Bayesian Clustering for Disease Subtype Discovery Using High-dimensional Transcriptomic Data
Lingsong Meng, Zhiguang Huo
The discovery of disease subtypes is an essential step for developing precision medicine, and disease subtyping via omics data has become a popular approach. While promising, subty…
stat.AP2017★ 13 cited
Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals
Zhiguang Huo, Chi Song, George Tseng
Due to the rapid development of high-throughput experimental techniques and fast-dropping prices, many transcriptomic datasets have been generated and accumulated in the public dom…