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Bioinformatics (Oxford, England)|March 3, 2019
RECAP reveals the true statistical significance of ChIP-seq peak callsJustin G Chitpin, Aseel Awdeh, Theodore J PerkinsPlos Computational Biology|May 20, 2006
Reverse engineering the gap gene network of Drosophila melanogasterTheodore J Perkins, Johannes Jaeger, John Reinitz, et al.Nature Communications|October 15, 2014
A scaling law for random walks on networksTheodore J Perkins, Eric Foxall, Leon Glass, et al.Research and Practice in Thrombosis and Haemostasis|May 6, 2024
Machine learning analysis of bleeding status in venous thromboembolism patientsSoroush Shahryari Fard, Theodore J Perkins, Philip S WellsBiochimica Et Biophysica Acta|July 17, 2007
Interfacial interactions of glutamate, water and ions with carbon nanopore evaluated by molecular dynamics simulationsSean M Cory, Yunyun Liu, Mladen I GlavinovićJournal of Thrombosis and Haemostasis : JTH|April 20, 2024
A deep-learning approach to predict bleeding risk over time in patients on extended anticoagulation therapySoroush Shahryari Fard, Theodore J Perkins, Philip S WellsIEEE/ACM Transactions on Computational Biology and Bioinformatics|January 17, 2017
Dynamics in Epistasis AnalysisAseel Awdeh, Hilary Phenix, Mads Karn, et al.Plos Computational Biology|October 10, 2025
Differential equation modeling of cell population dynamics in skeletal muscle regeneration from single-cell transcriptomic dataRenad Al-Ghazawi, Hassan Lezzeik, Xiaojian Shao, et al.Plos One|October 5, 2016
Bayesian Correlation Analysis for Sequence Count DataDaniel Sánchez-Taltavull, Parameswaran Ramachandran, Nelson Lau, et al.BMC Genomics|December 8, 2019
Human gene expression variability and its dependence on methylation and agingNasser Bashkeel, Theodore J Perkins, Mads Kærn, et al.Pageof 9