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    Genomic imputation and evaluation using high density Holstein genotypes 

    Type: Journal Paper
    Publisher: American Dairy Science Association
    Year: 2013

    On the limited increase in validation reliability using high density genotypes in genomic best linear unbiased prediction: Observations from Fleckvieh cattle 

    Type: Journal Paper
    Publisher: American Dairy Science Association

    Short communication: Genomic evaluations of final score for US Holsteins benefit from the inclusion of genotypes on cows 

    Type: Journal Paper
    Author : Tsuruta, S. - Misztal, I. - Lawlor, T.J.
    Publisher: American Dairy Science Association
    Year: 2013

    The gradient boosting algorithm and random boosting for genome assisted evaluation in large data sets 

    Type: Journal Paper
    Author : Gonzأ،lez - Jimأ©nez - Alenda, R.
    Publisher: American Dairy Science Association
    Year: 2013

    Short communication: Relationship of call rate and accuracy of single nucleotide polymorphism genotypes in dairy cattle 

    Type: Journal Paper
    Author : Cooper, T.A. - Wiggans, G.R. - VanRaden, P.M.
    Publisher: American Dairy Science Association
    Year: 2013

    Genomic evaluation, breed identification, and discovery of a haplotype affecting fertility for Ayrshire dairy cattle 

    Type: Journal Paper
    Publisher: American Dairy Science Association

    Technical note: Characteristics and use of the Illumina BovineLD and GeneSeek Genomic Profiler low density bead chips for genomic evaluation 

    Type: Journal Paper
    Publisher: American Dairy Science Association
    Year: 2013

    A first step toward genomic selection in the multi breed French dairy goat population 

    Type: Journal Paper
    Publisher: American Dairy Science Association
    Year: 2013

    Genomic Enabled Prediction Using Bayesian Artificial Neural Networks and Parametric Methods a Comparative Study 

    انتخاب ژنومی با استفاده از شبکه‌های عصبی مصنوعی بیزی و روش‌های پارامتری مطالعه مقایسه‌ای

    Author : Saeed Shadpour; سعید شادپور; Mojtaba Tahmoorespur; Mohammad Mahdi Shariati; مجتبی طهمورث پور; محمد مهدی شریعتی
    Publisher: Ferdowsi University of Mashhad Pressانتشارات دانشگاه فردوسی مشهد
    Year: 1398
    Abstract:

    در پژوهش حاضر توانایی پیش‌بینی ارزش های اصلاحی ژنومی شبکه‌های عصبی بیزی و روش‌های پارامتری در چهار معماری ژنتیکی شبیه سازی شده و چهار صفت واقعی موش با یکدیگر مقایسه شد. تعداد QTL‌ها در معماری‌های ژنتیکی اول و سوم 50 و در ...

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