Linda Petzold

University of California, Santa Barbara, Santa Barbara, CA, United States 
Systems Biology and Discovery Tools
"Linda Petzold"


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C. William Gear grad student 1978 UIUC (Computer Science Tree)
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Wu TB, Wu S, Buoni M, et al. (2018) Computational Model for Hyperfibrinolytic Onset of Acute Traumatic Coagulopathy. Annals of Biomedical Engineering
Carmona-Alcocer V, Abel JH, Sun TC, et al. (2017) Ontogeny of circadian rhythms and synchrony in the suprachiasmatic nucleus. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience
Abel JH, Drawert B, Hellander A, et al. (2016) GillesPy: A Python Package for Stochastic Model Building and Simulation. Ieee Life Sciences Letters. 2: 35-38
Drawert B, Hellander A, Bales B, et al. (2016) Stochastic Simulation Service: Bridging the Gap between the Computational Expert and the Biologist. Plos Computational Biology. 12: e1005220
Zhang Y, Wu TB, Daigle BJ, et al. (2016) Identification of disease states associated with coagulopathy in trauma. Bmc Medical Informatics and Decision Making. 16: 124
Abel JH, Meeker K, Granados-Fuentes D, et al. (2016) Functional network inference of the suprachiasmatic nucleus. Proceedings of the National Academy of Sciences of the United States of America
Hellander S, Petzold L. (2016) Reaction rates for a generalized reaction-diffusion master equation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 93: 013307
Zhang Y, Daigle BJ, Cohen M, et al. (2016) A cure time model for joint prediction of outcome and time-to-outcome Proceedings - Ieee International Conference On Data Mining, Icdm. 2016: 1117-1122
Lim RK, Petzold LR, Koç ÇK. (2016) Bitsliced high-performance AES-ECB on GPUs Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9100: 125-133
Pourzanjani A, Herzog ED, Petzold LR. (2015) On the Inference of Functional Circadian Networks Using Granger Causality. Plos One. 10: e0137540
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