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Biodata Mining|February 8, 2019
Predicting opioid dependence from electronic health records with machine learningRandall J Ellis, Zichen Wang, Nicholas Genes, et al.F1000Research|September 2, 2016
An open RNA-Seq data analysis pipeline tutorial with an example of reprocessing data from a recent Zika virus studyZichen Wang, Avi Ma'ayanBiophysical Reviews|December 31, 2018
Mining data and metadata from the gene expression omnibusZichen Wang, Alexander Lachmann, Avi Ma'ayanBioinformatics (Oxford, England)|May 7, 2016
Drug-induced adverse events prediction with the LINCS L1000 dataZichen Wang, Neil R Clark, Avi Ma'ayanComputational Biology and Chemistry|August 23, 2015
Reprint of "Abstraction for data integration: Fusing mammalian molecular, cellular and phenotype big datasets for better knowledge extraction"Andrew D Rouillard, Zichen Wang, Avi Ma'ayanBMC Systems Biology|June 7, 2015
Dynamics of the discovery process of protein-protein interactions from low content studiesZichen Wang, Neil R Clark, Avi Ma'ayanBioinformatics (Oxford, England)|February 9, 2018
L1000FWD: fireworks visualization of drug-induced transcriptomic signaturesZichen Wang, Alexander Lachmann, Alexandra B Keenan, et al.Journal of Biomedical Informatics|November 9, 2017
Predicting age by mining electronic medical records with deep learning characterizes differences between chronological and physiological ageZichen Wang, Li Li, Benjamin S Glicksberg, et al.Computers in Biology and Medicine|April 12, 2008
PubMedAlertMe--standalone Windows-based PubMed SDI software applicationAvi Ma'ayanPageof 60