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Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|February 27, 2026
Discovery of Disease Relationships via Transcriptomic Signature Analysis Powered by Agentic AIKe Chen, Haohan Wang
Proceedings. IEEE International Conference on Bioinformatics and Biomedicine|April 10, 2018
Variable Selection in Heterogeneous Datasets: A Truncated-rank Sparse Linear Mixed Model with Applications to Genome-wide Association StudiesHaohan Wang, Bryon Aragam, Eric P Xing
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare ApplicationsHaohan Wang, Zhenglin Wu, Eric P Xing
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|March 1, 2022
Trade-offs of Linear Mixed Models in Genome-Wide Association StudiesHaohan Wang, Bryon Aragam, Eric P Xing
Methods (San Diego, Calif.)|September 18, 2017
Backward genotype-transcript-phenotype association mappingSeunghak Lee, Haohan Wang, Eric P Xing
Data in Brief|March 11, 2026
Kazakh banknote image datasetUalikhan Sadyk, Makhambet Yerzhan, Cemil Turan, et al.
Psychology Research and Behavior Management|June 24, 2021
The Effect of Product Image Dynamism on Purchase Intention for Online Aquatic Product Shopping: An EEG StudyJiefeng Wang, Ailian Wang, Lian Zhu, et al.
Journal of Computational Biology : a Journal of Computational Molecular Cell Biology|October 4, 2022
Kernel Mixed Model for Transcriptome Association StudyHaohan Wang, Oscar Lopez, Eric P Xing, et al.
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