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Methods in Molecular Biology (Clifton, N.J.)|November 18, 2022
Quantification of Muscle Satellite Stem Cell Divisions by High-Content AnalysisWilliam Chen, Theodore J Perkins, Michael A Rudnicki
Plos One|November 5, 2010
A general model of codon bias due to GC mutational biasGareth A Palidwor, Theodore J Perkins, Xuhua Xia
Bioinformatics (Oxford, England)|March 3, 2019
RECAP reveals the true statistical significance of ChIP-seq peak callsJustin G Chitpin, Aseel Awdeh, Theodore J Perkins
Plos 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 Wells
Journal 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 Wells
IEEE/ACM Transactions on Computational Biology and Bioinformatics|January 17, 2017
Dynamics in Epistasis AnalysisAseel Awdeh, Hilary Phenix, Mads Karn, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 25, 2017
A semi-Markov chain approach to modeling respiratory patterns prior to extubation in preterm infantsCharles C Onu, Lara J Kanbar, Wissam Shalish, et al.
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