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DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

A. Sharma, E. Vans, D. Shigemizu, K. Boroevich, and T. Tsunoda. Scientific reports, 9 (1): 1--7 (2019)

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Searching for Regulatory Elements of Alternative Splicing Events Using Phylogenetic Footprinting.D. Shigemizu, and O. Maruyama. WABI, volume 3240 of Lecture Notes in Computer Science, page 147-158. Springer, (2004)Stepwise iterative maximum likelihood clustering approach.A. Sharma, D. Shigemizu, K. Boroevich, Y. López, Y. Kamatani, M. Kubo, and T. Tsunoda. BMC Bioinform., (2016)GlyStruct: glycation prediction using structural properties of amino acid residues.H. Reddy, A. Sharma, A. Dehzangi, D. Shigemizu, A. Chandra, and T. Tsunoda. BMC Bioinform., 19-S (13): 55-64 (2019)PathPred: an enzyme-catalyzed metabolic pathway prediction server.Y. Moriya, D. Shigemizu, M. Hattori, T. Tokimatsu, M. Kotera, S. Goto, and M. Kanehisa. Nucleic Acids Res., 38 (Web-Server-Issue): 138-143 (2010)Hierarchical Maximum Likelihood Clustering Approach.A. Sharma, K. Boroevich, D. Shigemizu, Y. Kamatani, M. Kubo, and T. Tsunoda. IEEE Trans. Biomed. Eng., 64 (1): 112-122 (2017)DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architectureA. Sharma, E. Vans, D. Shigemizu, K. Boroevich, and T. Tsunoda. Scientific reports, 9 (1): 1--7 (2019)Computational Prediction of Lysine Pupylation Sites in Prokaryotic Proteins Using Position Specific Scoring Matrix into Bigram for Feature Extraction.V. Singh, A. Sharma, A. Chandra, A. Dehzangi, D. Shigemizu, and T. Tsunoda. PRICAI (3), volume 11672 of Lecture Notes in Computer Science, page 488-500. Springer, (2019)Network-Based Analysis and Characterization of Adverse Drug-Drug Interactions.M. Takarabe, D. Shigemizu, M. Kotera, S. Goto, and M. Kanehisa. Journal of Chemical Information and Modeling, 51 (11): 2977-2985 (2011)Using Functional Signatures to Identify Repositioned Drugs for Breast, Myelogenous Leukemia and Prostate Cancer.D. Shigemizu, Z. Hu, J. Hung, C. Huang, Y. Wang, and C. DeLisi. PLoS Comput. Biol., (2012)Computational Pipelines and Workflows in Bioinformatics.Y. López, P. Kamola, R. Sharma, D. Shigemizu, T. Tsunoda, and A. Sharma. Encyclopedia of Bioinformatics and Computational Biology (3), Elsevier, (2019)

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Disambiguation of "Shigemizu, Daichi"

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DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

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Disambiguation of "Shigemizu, Daichi"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture

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DeepInsight: A methodology to transform a non-image data to an image for convolution neural network architecture