7 citations · 10 across the 4 of their papers we have counts for
4 papers
Annotation-Informed Block-Sparse Bayesian Modeling for cis-Expression Prediction
Lei Huang, Hui Shen, Kuan-Jui Su +9
Genotype-based cis-expression prediction depends on accurately modeling local regulatory architecture. We present block-sparse Bayesian sparse linear mixed model (bsBSLMM), an exte…
Multi-View Variational Autoencoder for Missing Value Imputation in Untargeted Metabolomics
Chen Zhao, Kuan-Jui Su, Chong Wu +13
Background: Missing data is a common challenge in mass spectrometry-based metabolomics, which can lead to biased and incomplete analyses. The integration of whole-genome sequencing…
Multi-view information fusion using multi-view variational autoencoders to predict proximal femoral strength
Chen Zhao, Joyce H Keyak, Xuewei Cao +10
The aim of this paper is to design a deep learning-based model to predict proximal femoral strength using multi-view information fusion. Method: We developed new models using multi…
A generalized kernel machine approach to identify higher-order composite effects in multi-view datasets
Md Ashad Alam, Chuan Qiu, Hui Shen +2
In recent years, a comprehensive study of multi-view datasets (e.g., multi-omics and imaging scans) has been a focus and forefront in biomedical research. State-of-the-art biomedic…