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Rick L Stevens

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 12, 2005
Emergent epileptiform activity in neural networks with weak excitatory synapsesWim van Drongelen, Hyong C Lee, Mark Hereld, et al.
BMC Genomics|August 10, 2016
Modeling central metabolism and energy biosynthesis across microbial lifeJanaka N Edirisinghe, Pamela Weisenhorn, Neal Conrad, et al.
Computational and Mathematical Methods in Medicine|January 14, 2014
Large-scale modeling of epileptic seizures: scaling properties of two parallel neuronal network simulation algorithmsLorenzo L Pesce, Hyong C Lee, Mark Hereld, et al.
Cancers|February 10, 2024
A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug ScreeningPriyanka Vasanthakumari, Yitan Zhu, Thomas Brettin, et al.
Scientific Reports|July 2, 2021
Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Scientific Reports|October 23, 2020
Ensemble transfer learning for the prediction of anti-cancer drug responseYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|June 1, 2021
Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Genes|September 16, 2020
Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction ModelsYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Pathogens (Basel, Switzerland)|June 2, 2021
Identification of an Attenuated Substrain of <i>Francisella tularensis</i> SCHU S4 by Phenotypic and Genotypic AnalysesJulie A Lovchik, Douglas S Reed, Julie A Hutt, et al.
Briefings in Bioinformatics|April 3, 2025
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning settingOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Pageof 5

Showing results (11-20 of 44) with videos related to

Sort By:
Pageof 5
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|July 12, 2005
Emergent epileptiform activity in neural networks with weak excitatory synapsesWim van Drongelen, Hyong C Lee, Mark Hereld, et al.
BMC Genomics|August 10, 2016
Modeling central metabolism and energy biosynthesis across microbial lifeJanaka N Edirisinghe, Pamela Weisenhorn, Neal Conrad, et al.
Computational and Mathematical Methods in Medicine|January 14, 2014
Large-scale modeling of epileptic seizures: scaling properties of two parallel neuronal network simulation algorithmsLorenzo L Pesce, Hyong C Lee, Mark Hereld, et al.
Cancers|February 10, 2024
A Comprehensive Investigation of Active Learning Strategies for Conducting Anti-Cancer Drug ScreeningPriyanka Vasanthakumari, Yitan Zhu, Thomas Brettin, et al.
Scientific Reports|July 2, 2021
Publisher Correction: Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Scientific Reports|October 23, 2020
Ensemble transfer learning for the prediction of anti-cancer drug responseYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Scientific Reports|June 1, 2021
Converting tabular data into images for deep learning with convolutional neural networksYitan Zhu, Thomas Brettin, Fangfang Xia, et al.
Genes|September 16, 2020
Enhanced Co-Expression Extrapolation (COXEN) Gene Selection Method for Building Anti-Cancer Drug Response Prediction ModelsYitan Zhu, Thomas Brettin, Yvonne A Evrard, et al.
Pathogens (Basel, Switzerland)|June 2, 2021
Identification of an Attenuated Substrain of <i>Francisella tularensis</i> SCHU S4 by Phenotypic and Genotypic AnalysesJulie A Lovchik, Douglas S Reed, Julie A Hutt, et al.
Briefings in Bioinformatics|April 3, 2025
Data imbalance in drug response prediction: multi-objective optimization approach in deep learning settingOleksandr Narykov, Yitan Zhu, Thomas Brettin, et al.
Pageof 5