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Mark Inlow

Showing results (1-10 of 17) with videos related to

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Current Genetics|August 20, 2003
Expression profiles of pea pathogenicity ( PEP) genes in vivo and in vitro, characterization of the flanking regions of the PEP cluster and evidence that the PEP cluster region resulted from horizontal gene transfer in the fungal pathogen Nectria haematococcaXiaoguang Liu, Mark Inlow, Hans D VanEtten
Journal of Neurobiology|May 27, 2003
A diffusible signal attracts olfactory sensory axons toward their target in the developing brain of the mothLynne A Oland, Wendy M Pott, Charles T Howard, et al.
Medical Imaging and Augmented Reality : 7Th International Conference, MIAR 2016, Bern, Switzerland, August 24-26, 2016 : Proceedings. MIAR (Workshop) (7Th : 2016 : Bern, Switzerland)|September 26, 2017
A New Statistical Image Analysis Approach and Its Application to Hippocampal MorphometryMark Inlow, Shan Cong, Shannon L Risacher, et al.
BMC Systems Biology|September 3, 2016
Structured sparse CCA for brain imaging genetics via graph OSCARLei Du, Heng Huang, Jingwen Yan, et al.
Multimodal Brain Image Analysis : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : Proceedings. MBIA (Workshop) (3Rd : 2013 : Nagoya-Shi, Japan)|May 1, 2015
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI MeasuresJingwen Yan, Heng Huang, Shannon L Risacher, et al.
Brain Informatics|October 18, 2016
Two-dimensional enrichment analysis for mining high-level imaging genetic associationsXiaohui Yao, Jingwen Yan, Sungeun Kim, et al.
Brain Informatics and Health : 8Th International Conference, BIH 2015, London, UK, August 30-September 2, 2015 : Proceedings. BIH (Conference) (8Th : 2015 : London, England)|November 17, 2015
Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic AssociationsXiaohui Yao, Jingwen Yan, Sungeun Kim, et al.
Bioinformatics (Oxford, England)|January 24, 2016
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet methodLei Du, Heng Huang, Jingwen Yan, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
A novel structure-aware sparse learning algorithm for brain imaging geneticsLei Du, Yan Jingwen, Sungeun Kim, et al.
Brain Informatics and Health : 8Th International Conference, BIH 2015, London, UK, August 30-September 2, 2015 : Proceedings. BIH (Conference) (8Th : 2015 : London, England)|December 5, 2015
GN-SCCA: GraphNet based Sparse Canonical Correlation Analysis for Brain Imaging GeneticsLei Du, Jingwen Yan, Sungeun Kim, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Current Genetics|August 20, 2003
Expression profiles of pea pathogenicity ( PEP) genes in vivo and in vitro, characterization of the flanking regions of the PEP cluster and evidence that the PEP cluster region resulted from horizontal gene transfer in the fungal pathogen Nectria haematococcaXiaoguang Liu, Mark Inlow, Hans D VanEtten
Journal of Neurobiology|May 27, 2003
A diffusible signal attracts olfactory sensory axons toward their target in the developing brain of the mothLynne A Oland, Wendy M Pott, Charles T Howard, et al.
Medical Imaging and Augmented Reality : 7Th International Conference, MIAR 2016, Bern, Switzerland, August 24-26, 2016 : Proceedings. MIAR (Workshop) (7Th : 2016 : Bern, Switzerland)|September 26, 2017
A New Statistical Image Analysis Approach and Its Application to Hippocampal MorphometryMark Inlow, Shan Cong, Shannon L Risacher, et al.
BMC Systems Biology|September 3, 2016
Structured sparse CCA for brain imaging genetics via graph OSCARLei Du, Heng Huang, Jingwen Yan, et al.
Multimodal Brain Image Analysis : Third International Workshop, MBIA 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013 : Proceedings. MBIA (Workshop) (3Rd : 2013 : Nagoya-Shi, Japan)|May 1, 2015
Network-Guided Sparse Learning for Predicting Cognitive Outcomes from MRI MeasuresJingwen Yan, Heng Huang, Shannon L Risacher, et al.
Brain Informatics|October 18, 2016
Two-dimensional enrichment analysis for mining high-level imaging genetic associationsXiaohui Yao, Jingwen Yan, Sungeun Kim, et al.
Brain Informatics and Health : 8Th International Conference, BIH 2015, London, UK, August 30-September 2, 2015 : Proceedings. BIH (Conference) (8Th : 2015 : London, England)|November 17, 2015
Two-dimensional Enrichment Analysis for Mining High-level Imaging Genetic AssociationsXiaohui Yao, Jingwen Yan, Sungeun Kim, et al.
Bioinformatics (Oxford, England)|January 24, 2016
Structured sparse canonical correlation analysis for brain imaging genetics: an improved GraphNet methodLei Du, Heng Huang, Jingwen Yan, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 17, 2014
A novel structure-aware sparse learning algorithm for brain imaging geneticsLei Du, Yan Jingwen, Sungeun Kim, et al.
Brain Informatics and Health : 8Th International Conference, BIH 2015, London, UK, August 30-September 2, 2015 : Proceedings. BIH (Conference) (8Th : 2015 : London, England)|December 5, 2015
GN-SCCA: GraphNet based Sparse Canonical Correlation Analysis for Brain Imaging GeneticsLei Du, Jingwen Yan, Sungeun Kim, et al.
Pageof 2