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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Prioritizing predicted cis-regulatory elements for co-expressed gene sets based on Lasso regression modelsHong Hu, Damian Roqueiro, Yang DaiAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Analyzing mRNA and microRNA co-expression profiles to identify pathways and their potential regulators in ER+ and ER- breast tumorsLei Huang, Damian Roqueiro, Yang DaiThescientificworldjournal|February 13, 2013
A local genetic algorithm for the identification of condition-specific microRNA-gene modulesWenbo Mu, Damian Roqueiro, Yang DaiProteome Science|July 5, 2012
Identifying transcription factors and microRNAs as key regulators of pathways using Bayesian inference on known pathway structuresDamian Roqueiro, Lei Huang, Yang DaiBioinformatics (Oxford, England)|November 14, 2018
Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohortsMatteo Togninalli, Damian Roqueiro, , et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Exploring regulatory elements in low-methylated regions for gene expression predictionHong Hu, Yang DaiAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
A model-based approach to transcription regulatory network reconstruction from time-course gene expression dataHong Hu, Yang DaiIEEE Journal of Biomedical and Health Informatics|May 15, 2015
Regulatory elements in low-methylated regions predict directional change of gene expressionHong Hu, Jingting Xu, Yang DaiPlos One|September 24, 2016
LMethyR-SVM: Predict Human Enhancers Using Low Methylated Regions based on Weighted Support Vector MachinesJingting Xu, Hong Hu, Yang DaiPlos One|October 21, 2016
Correction: LMethyR-SVM: Predict Human Enhancers Using Low Methylated Regions based on Weighted Support Vector MachinesJingting Xu, Hong Hu, Yang DaiPageof 238