A
Aydin Tozeren
Researcher at Drexel University
Publications - 59
Citations - 3833
Aydin Tozeren is an academic researcher from Drexel University. The author has contributed to research in topics: Gene & Cell adhesion molecule. The author has an hindex of 31, co-authored 59 publications receiving 3584 citations. Previous affiliations of Aydin Tozeren include Thomas Jefferson University & The Catholic University of America.
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The influence of doubly attached crossbridges on the mechanical behavior of skeletal muscle fibers under equilibrium conditions.
TL;DR: It is predicted that a crossbridge head is more likely to re-attach to its previously strained position than remain unattached while the other head is attached, leading to the slow decay of force, which suggests that crossbridge stiffness is determined either by the extensibility of the double helical tail region or its junction to the thick filament backbone.
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A comparison of survival analysis methods for cancer gene expression RNA-Sequencing data
Pichai Raman,Pichai Raman,Samuel E. Zimmerman,Komal S. Rathi,Laurence de Torrenté,Mahdi Sarmady,Mahdi Sarmady,Chao Wu,Jeremy Leipzig,Jeremy Leipzig,Deanne Taylor,Deanne Taylor,Aydin Tozeren,Jessica C. Mar,Jessica C. Mar +14 more
TL;DR: Results show that methods based on dichotomizing tend to have consistently poor performance while C-index, D- index, and k-means perform well in most settings, and overall, the Cox regression method had the strongest performance based on tests of accuracy, reliability, and robustness.
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Modular composition predicts kinase/substrate interactions
Yichuan Liu,Aydin Tozeren +1 more
TL;DR: The method presented here produces predictions of protein phosphorylation events with high accuracy and mid-level coverage and can be used in expanding the currently available drafts of cell signaling pathways and thus will be an important tool in the development of combination drug therapies targeting complex diseases.
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Encyclopedia of bacterial gene circuits whose presence or absence correlate with pathogenicity – a large-scale system analysis of decoded bacterial genomes
TL;DR: This study produces for the first time, a signature, in the form of a robust list of gene circuitry whose presence or absence could potentially define the pathogenicity of a microbiome, using the KEGG repository and extensive literature searches.
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Assessment of Fiber Strength in a Urinary Bladder by Using Experimental Pressure Volume Curves: An Analytical Method
TL;DR: An analytical method is developed to deduce the constitutive equations of fibers embedded in a thick shell from the time-variant pressure volume curves obtained by experimental procedures, finding Arbitrary coefficients appearing in the fiber stress-equation are also present in the resultant time-Variant pressure-volume relation.