يعرض 1 - 14 نتائج من 14 نتيجة بحث عن '"Katsara, Maria Alexandra"', وقت الاستعلام: 0.39s تنقيح النتائج
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    Academic Journal

    المساهمون: University of Santiago de Compostela, Institute of Forensic Sciences, Forensic Genetics Unit, Medical University of Innsbruck, Institute of Legal Medicine, University of Santiago de Compostela, Faculty of Mathematics, University Medical Center Rotterdam, Erasmus MC, Department of Genetic Identification, University of Cologne, Cologne Center for Genomics, University Hospital Cologne, University of Cologne, Faculty of Medicine and University Clinic, Institute of Legal Medicine, Fiji Police Forensic Biology and DNA Laboratory, Nasova, Suva, Fiji, Universidade de Brasília, Departamento Genética e Morfologia, Jagiellonian University, Malopolska Centre of Biotechnology, Uniwersytet Jagielloński, Krakow, Poland, Fundación Pública Galega de Medicina Xenómica (FPGMX), Instituto de Investigación Sanitaria (IDIS),15706 Santiago de Compostela, Spain, University of Santiago de Compostela, Genomics Group, CIBERER, CIMUS

    مصطلحات موضوعية: Ancestralidade biogeográfica, Marcadores genéticos

    وصف الملف: application/pdf

    Relation: RAMÍREZ, et al. Jorge Ruiz. Development and evaluations of the ancestry informative markers of the VISAGE enhanced tool for appearance and ancestry. Forensic Science International: Genetics, [S. l.], v. 64, 102853, 2023. DOI: https://doi.org/10.1016/j.fsigen.2023.102853. Disponível em: https://www.sciencedirect.com/science/article/pii/S1872497323000285. Acesso em: 28 jun. 2024.; http://repositorio2.unb.br/jspui/handle/10482/48464; https://doi.org/10.1016/j.fsigen.2023.102853

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    Academic Journal

    المصدر: Katsara , M A , Branicki , W , Walsh , S , Kayser , M & Nothnagel , M 2021 , ' Evaluation of supervised machine-learning methods for predicting appearance traits from DNA ' , Forensic Science International: Genetics , vol. 53 , 102507 . https://doi.org/10.1016/j.fsigen.2021.102507

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    Academic Journal
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    Academic Journal

    المساهمون: Biology, School of Science

    المصدر: Publisher

    مصطلحات موضوعية: appearances, genetic prediction, impact of priors

    وصف الملف: application/pdf

    Relation: Forensic Science International: Genetics; Katsara, M.-A., Branicki, W., Pośpiech, E., Hysi, P., Walsh, S., Kayser, M., & Nothnagel, M. (2021). Testing the impact of trait prevalence priors in Bayesian-based genetic prediction modeling of human appearance traits. Forensic Science International: Genetics, 50, 102412. https://doi.org/10.1016/j.fsigen.2020.102412; https://hdl.handle.net/1805/27744

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    Academic Journal

    المساهمون: Biology, School of Science

    المصدر: Publisher

    وصف الملف: application/pdf

    Relation: Forensic Science International: Genetics; Katsara MA, Branicki W, Walsh S, Kayser M, Nothnagel M; VISAGE Consortium. Evaluation of supervised machine-learning methods for predicting appearance traits from DNA. Forensic Sci Int Genet. 2021;53:102507. doi:10.1016/j.fsigen.2021.102507; https://hdl.handle.net/1805/39393

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    Electronic Resource
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    Academic Journal
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    Academic Journal
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    المساهمون: Genetic Identification

    المصدر: Forensic Science International: Genetics, 53:102507. Elsevier Ireland Ltd
    Forensic Science International: Genetics

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    Electronic Resource
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    Academic Journal

    مصطلحات موضوعية: ddc:no

    Relation: Katsara, Maria-Alexandra and Nothnagel, Michael orcid:0000-0001-8305-7114 (2017). A Literature Review on the Prevalence of Pigmentation Traits. Hum. Hered., 83 (5). S. 236 - 237. BASEL: KARGER. ISSN 1423-0062