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Eun Jeong Min
Changgee Chang
Qi Long

Showing results (1-10 of 1,163) with videos related to

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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
10Th IEEE International Conference on Big Knowledge : Proceedings : 10-11 November 2019, Beijing, China. IEEE International Conference on Big Knowledge (10Th : 2019 : Beijing, China)|July 22, 2021
Knowledge-Guided Biclustering via Sparse Variational EM AlgorithmChanggee Chang, Jihwan Oh, Eun Jeong Min, et al.
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
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
Pageof 117

Showing results (1-10 of 1,163) with videos related to

Sort By:
Pageof 117
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
10Th IEEE International Conference on Big Knowledge : Proceedings : 10-11 November 2019, Beijing, China. IEEE International Conference on Big Knowledge (10Th : 2019 : Beijing, China)|July 22, 2021
Knowledge-Guided Biclustering via Sparse Variational EM AlgorithmChanggee Chang, Jihwan Oh, Eun Jeong Min, et al.
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
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
Pageof 117