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Sadria, M. , & Layton, A. . (2023). The Power of Two: integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysis. bioRxiv, 2023–04. Cold Spring Harbor Laboratory.
Sadria, M. , Bjornstad, P. , Pottumarthi, P. , Lu-Ping, L. , Pyle, L. , Vigers, T. , & Layton, A. . (2023). A multimodal neural network that distinguishes between type 1 and type 2 diabetes in young persons using MRI and clinical data. Physiology, 38, 5695980. American Physiological Society Rockville, MD.
Sadria, M. , Layton, A. , & Bader, G. . (2023). Adversarial training improves model interpretability in single-cell RNA-seq analysis. bioRxiv, 2023–05. Cold Spring Harbor Laboratory.
Sadria, M. , Layton, A. , Goyal, S. , & Bader, G. . (2022). Fatecode: Cell fate regulator prediction using classification autoencoder perturbation. bioRxiv, 2022–12. Cold Spring Harbor Laboratory.
Sadria, M. , & Layton, A. . (2022). A predictive model for estimating protection against CKD and CVD with SGLT2 inhibition in patients with diabetes. The FASEB Journal, 36. The Federation of American Societies for Experimental Biology.
Sadria, M. , Seo, D. , & Layton, A. T. . (2022). The mixed blessing of AMPK signaling in Cancer treatments. BMC cancer, 22, 1–16. BioMed Central.
Sadria, M. , & Layton, A. T. . (2021). Modeling within-host SARS-CoV-2 infection dynamics and potential treatments. Viruses, 13, 1141. MDPI.
Sadria, M. , & Layton, A. T. . (2021). A computational model for cell energy balance and metabolism.
Sadria, M. , & Layton, A. T. . (2021). Aging affects circadian clock and metabolism and modulates timing of medication. Iscience, 24. Elsevier.
Sadria, M. , & Layton, A. T. . (2021). Interactions among mTORC, AMPK and SIRT: a computational model for cell energy balance and metabolism. Cell Communication and Signaling, 19, 1–17. BioMed Central.
Sadria, M. , & Layton, A. T. . (2020). Use of angiotensin-converting enzyme inhibitors and angiotensin II receptor blockers during the COVID-19 pandemic: a modeling analysis. PLoS Computational Biology, 16, e1008235. Public Library of Science San Francisco, CA USA.
Sadria, M. , & Layton, A. T. . (2020). A First Course in Systems Biology. SIAM PUBLICATIONS 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688 USA.
Sadria, M. , & Layton, A. . (2020). Ageing signalling pathways: Quantifying the effects of protein interactions. The FASEB Journal, 34, 1–1. The Federation of American Societies for Experimental Biology.
Sadria, M. , Karimi, S. , & Layton, A. T. . (2019). Network centrality analysis of eye-gaze data in autism spectrum disorder. Computers in biology and medicine, 111, 103332. Pergamon.
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Ryu, H. , & Layton, A. T. . (2014). Feedback-mediated dynamics in a model of coupled nephrons with compliant short loop of Henle. Biological Fluid Dynamics: Modeling, Computations, and Applications, 628, 209. American Mathematical Soc.
Ryu, H. , & Layton, A. T. . (2014). Tubular fluid flow and distal NaCl delivery mediated by tubuloglomerular feedback in the rat kidney. Journal of mathematical biology, 68, 1023–1049. Springer Berlin Heidelberg.
Ryu, H. , & Layton, A. T. . (2013). Effect of tubular inhomogeneities on feedback-mediated dynamics of a model of a thick ascending limb. Mathematical Medicine and Biology: a Journal of the IMA, 30, 191–212. Oxford University Press.
Ryu, H. , Layton, A. T. , Tubuloglomerular, D. NaCl Deliv, & others, . (2012). HWAYEON RYU. Biomed Eng, 28, 369–380.
Ryu, H. , & Layton, A. T. . (2012). Tubular Fluid Oscillations Mediated by Tubuloglomerular Feedback in a Short Loop of Henle. Federation of American Societies for Experimental Biology.
Robel, A. , & Layton, A. . (2009). The Lorenz Model.

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