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Jinbo Bi

Showing results (11-20 of 55) with videos related to

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Advances in Neural Information Processing Systems|October 31, 2017
A Sparse Interactive Model for Matrix Completion with Side InformationJin Lu, Guannan Liang, Jiangwen Sun, et al.
Drug Discovery Today|June 25, 2025
Unraveling the potential of diffusion models in small-molecule generationPeining Zhang, Daniel Baker, Minghu Song, et al.
Journal of Psychiatry and Brain Science|June 13, 2020
Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor AnalyticsJayesh Kamath, Jinbo Bi, Alexander Russell, et al.
BMC Medical Informatics and Decision Making|April 6, 2013
Efficient techniques for genotype-phenotype correlational analysisSubrata Saha, Sanguthevar Rajasekaran, Jinbo Bi, et al.
Bioinformatics (Oxford, England)|June 17, 2016
A cross-species bi-clustering approach to identifying conserved co-regulated genesJiangwen Sun, Zongliang Jiang, Xiuchun Tian, et al.
Journal of Psychiatry & Neuroscience : JPN|September 7, 2019
A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interactionJiangwen Sun, Henry R. Kranzler, Joel Gelernter, et al.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|December 17, 2013
Comparing the utility of homogeneous subtypes of cocaine use and related behaviors with DSM-IV cocaine dependence as traits for genetic association analysisJinbo Bi, Joel Gelernter, Jiangwen Sun, et al.
Parallel Computing|December 28, 2020
Asynchronous Parallel Stochastic Quasi-Newton MethodsQianqian Tong, Guannan Liang, Xingyu Cai, et al.
Journal of the American Nutrition Association|January 29, 2026
Blood Metabolomic and Proteomic Signatures of Total, Healthy, and Unhealthy Low-Carbohydrate Diets in the UK BiobankManije Darooghegi Mofrad, Briana Nosal, Jinbo Bi, et al.
BMC Bioinformatics|December 10, 2020
Convolutional neural network for automated mass segmentation in mammographyDina Abdelhafiz, Jinbo Bi, Reda Ammar, et al.
Pageof 6

Showing results (11-20 of 55) with videos related to

Sort By:
Pageof 6
Advances in Neural Information Processing Systems|October 31, 2017
A Sparse Interactive Model for Matrix Completion with Side InformationJin Lu, Guannan Liang, Jiangwen Sun, et al.
Drug Discovery Today|June 25, 2025
Unraveling the potential of diffusion models in small-molecule generationPeining Zhang, Daniel Baker, Minghu Song, et al.
Journal of Psychiatry and Brain Science|June 13, 2020
Grant Report on SCH: Personalized Depression Treatment Supported by Mobile Sensor AnalyticsJayesh Kamath, Jinbo Bi, Alexander Russell, et al.
BMC Medical Informatics and Decision Making|April 6, 2013
Efficient techniques for genotype-phenotype correlational analysisSubrata Saha, Sanguthevar Rajasekaran, Jinbo Bi, et al.
Bioinformatics (Oxford, England)|June 17, 2016
A cross-species bi-clustering approach to identifying conserved co-regulated genesJiangwen Sun, Zongliang Jiang, Xiuchun Tian, et al.
Journal of Psychiatry & Neuroscience : JPN|September 7, 2019
A genome-wide association study of cocaine use disorder accounting for phenotypic heterogeneity and gene–environment interactionJiangwen Sun, Henry R. Kranzler, Joel Gelernter, et al.
American Journal of Medical Genetics. Part B, Neuropsychiatric Genetics : the Official Publication of the International Society of Psychiatric Genetics|December 17, 2013
Comparing the utility of homogeneous subtypes of cocaine use and related behaviors with DSM-IV cocaine dependence as traits for genetic association analysisJinbo Bi, Joel Gelernter, Jiangwen Sun, et al.
Parallel Computing|December 28, 2020
Asynchronous Parallel Stochastic Quasi-Newton MethodsQianqian Tong, Guannan Liang, Xingyu Cai, et al.
Journal of the American Nutrition Association|January 29, 2026
Blood Metabolomic and Proteomic Signatures of Total, Healthy, and Unhealthy Low-Carbohydrate Diets in the UK BiobankManije Darooghegi Mofrad, Briana Nosal, Jinbo Bi, et al.
BMC Bioinformatics|December 10, 2020
Convolutional neural network for automated mass segmentation in mammographyDina Abdelhafiz, Jinbo Bi, Reda Ammar, et al.
Pageof 6