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Changgee Chang

Showing results (1-10 of 30) with videos related to

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Biometrics|May 9, 2018
Scalable Bayesian variable selection for structured high-dimensional dataChanggee Chang, Suprateek Kundu, Qi Long
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|February 21, 2022
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional DataWenli Sun, Changgee Chang, Qi Long
JCO Precision Oncology|February 1, 2022
Knowledge-Guided Statistical Learning Methods for Analysis of High-Dimensional -Omics Data in Precision OncologyYize Zhao, Changgee Chang, Qi Long
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|May 27, 2020
Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on FeaturesWenli Sun, Changgee Chang, Qi Long
Proceedings of the ... International Conference on Data Science and Advanced Analytics. IEEE International Conference on Data Science and Advanced Analytics|May 21, 2019
Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics DataEun Jeong Min, Changgee Chang, Qi Long
Briefings in Bioinformatics|December 7, 2023
Robust knowledge-guided biclustering for multi-omics dataQiyiwen Zhang, Changgee Chang, Qi Long
Biometrics|October 28, 2022
CEDAR: communication efficient distributed analysis for regressionsChanggee Chang, Zhiqi Bu, Qi Long
Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining|May 23, 2020
GRIA: Graphical Regularization for Integrative AnalysisChanggee Chang, Jihwan Oh, Qi Long
Biostatistics (Oxford, England)|September 14, 2021
Accounting for technical noise in Bayesian graphical models of single-cell RNA-sequencing dataJihwan Oh, Changgee Chang, Qi Long
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|May 2, 2019
Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics DataWenli Sun, Changgee Chang, Yize Zhao, et al.
Pageof 3

Showing results (1-10 of 30) with videos related to

Sort By:
Pageof 3
Biometrics|May 9, 2018
Scalable Bayesian variable selection for structured high-dimensional dataChanggee Chang, Suprateek Kundu, Qi Long
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|February 21, 2022
Graph-guided Bayesian SVM with Adaptive Structured Shrinkage Prior for High-dimensional DataWenli Sun, Changgee Chang, Qi Long
JCO Precision Oncology|February 1, 2022
Knowledge-Guided Statistical Learning Methods for Analysis of High-Dimensional -Omics Data in Precision OncologyYize Zhao, Changgee Chang, Qi Long
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|May 27, 2020
Bayesian Non-linear Support Vector Machine for High-Dimensional Data with Incorporation of Graph Information on FeaturesWenli Sun, Changgee Chang, Qi Long
Proceedings of the ... International Conference on Data Science and Advanced Analytics. IEEE International Conference on Data Science and Advanced Analytics|May 21, 2019
Generalized Bayesian Factor Analysis for Integrative Clustering with Applications to Multi-Omics DataEun Jeong Min, Changgee Chang, Qi Long
Briefings in Bioinformatics|December 7, 2023
Robust knowledge-guided biclustering for multi-omics dataQiyiwen Zhang, Changgee Chang, Qi Long
Biometrics|October 28, 2022
CEDAR: communication efficient distributed analysis for regressionsChanggee Chang, Zhiqi Bu, Qi Long
Proceedings of the ... SIAM International Conference on Data Mining. SIAM International Conference on Data Mining|May 23, 2020
GRIA: Graphical Regularization for Integrative AnalysisChanggee Chang, Jihwan Oh, Qi Long
Biostatistics (Oxford, England)|September 14, 2021
Accounting for technical noise in Bayesian graphical models of single-cell RNA-sequencing dataJihwan Oh, Changgee Chang, Qi Long
Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data|May 2, 2019
Knowledge-Guided Bayesian Support Vector Machine for High-Dimensional Data with Application to Analysis of Genomics DataWenli Sun, Changgee Chang, Yize Zhao, et al.
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