A Novel Deep Learning-Based Model for Classification of Wheat Gene Expression
作者机构：Faculty of SciencePort Said UniversityPort SaidEgypt Modern Academy for Computer Science and Management TechnologyCairo11742Egypt Faculty of Computers and Artificial IntelligenceDamietta UniversityNew DamiettaEgypt Department of ICT ConvergenceSoonchunhyang UniversityAsan31538South Korea Department of MathematicsFaculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational MathematicsScienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA
出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)
年 卷 期：2024年第48卷第2期
页 面：273-285页
基 金：This research was supported by Korea Institute for Advancement of Technology(KIAT)grant funded by the Korea Government(MOTIE)(P0012724,The Competency Development Program for Industry Specialist) the National Research Foundation of Korea(NRF)grant funded by theKorea government(MSIT)(No.RS-2023-00218176) the Soonchunhyang University Research Fund
主 题：Gene expression convolutional neural network optimization algorithm genomic prediction wheat
摘 要：Deep learning(DL)plays a critical role in processing and converting data into knowledge and *** technologies have been applied in a variety of applications,including image,video,and genome sequence *** deep learning the most widely utilized architecture is Convolutional Neural Networks(CNN)are taught discriminatory traits in a supervised *** comparison to other classic neural networks,CNN makes use of a limited number of artificial neurons,therefore it is ideal for the recognition and processing of wheat gene *** is an essential crop of cereals for people around the *** Genotypes identification has an impact on the possible development of many countries in the agricultural *** quantitative genetics prediction of genetic values is a central *** is an allohexaploid(AABBDD)with three distinct *** sizes of the wheat genome are quite large compared to many other kinds and the availability of a diversity of genetic knowledge and normal structure at breeding lines of wheat,Therefore,genome sequence approaches based on techniques of Artificial Intelligence(AI)are *** paper focuses on using the Wheat genome sequence will assist wheat producers in making better use of their genetic resources and managing genetic variation in their breeding program,as well as propose a novel model based on deep learning for offering a fundamental overview of genomic prediction theory and current *** this paper,the hyperparameters of the network are optimized in the CNN to decrease the requirement for manual search and enhance network performance using a new proposed model built on an optimization algorithm and Convolutional Neural Networks(CNN).
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