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GenNet framework: interpretable deep learning for predicting phenotypes from genetic data

• Authors : Arno van Hilten; Manfred Kayser; Gennady V. Roshchupkin ...

Subjects: Population genetics; Epidemiology; Computer science

• Source: Communications Biology, Vol 4, Iss 1, Pp 1-9 (2021)Communications Biology, 4Communications Biology, 4(1)Communications Biology, 4, 1Communications Biology, 4(1):1094. Springer

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Exploring models of human migration to the Japanese archipelago using genome-wide genetic data

• Authors : Yosuke Kawai; Naoki Osada

Subjects: Yayoi; geography.geographical_feature_category; Human migration

• Source: Anthropological Science. 129:45-58

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'The ultimate risk:' How clinicians assess the value and meaning of genetic data in cardiology

• Authors : Kellie Owens

Subjects: Value (ethics); medicine.medical_specialty; Modern medicine

• Source: Clin Ethics

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Processing of Genetic Data under GDPR: Unresolved Conflict of Interests

• Authors : Valeriia Hutsaliuk; Petro Sukhorolskyi

Subjects: 0301 basic medicine; Public economics; Genetic data

• Source: Masaryk University Journal of Law and Technology. 14:151-176

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Text Analytics and Mixed Feature Extraction in Ovarian Cancer Clinical and Genetic Data

• Authors : Sergio Ruiz-Llorente; José Luis Rojo-Álvarez; Luis Bote-Curiel

Subjects: Multivariate analysis; General Computer Science; Computer science

• Source: IEEE Access, Vol 9, Pp 58034-58051 (2021)

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Genetic Data Aren't So Special: Causes and Implications of Reidentification

• Authors : Peter H. Schwartz; T. J. Kasperbauer

Subjects: Health (social science); business.industry; Health Policy

• Source: Hastings Center Report. 50:30-39

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Ownership of Genetic Data: Between Universalism and Contextualism?

• Authors : Christian Hervé; Henri-Corto Stoeklé

Subjects: business.industry; Health Policy; MEDLINE

• Source: The American Journal of Bioethics. 21:75-77

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A Resampling Univariate Analysis Approach to Ovarian Cancer From Clinical and Genetic Data

• Authors : Sergio Muñoz-Romero; Arantzazu Barquin; Luis Bote-Curiel

Subjects: data science analytics; Multivariate analysis; General Computer Science

• Source: IEEE Access, Vol 9, Pp 25959-25972 (2021)

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Integration of innovative statistical methods using genetic data provides pharmacological insight and facilitates drug development

• Authors : Grant, Andrew J.;

Subjects: Pharmacology; Neutropenia; business.industry

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Fox Insight collects online, longitudinal patient-reported outcomes and genetic data on Parkinson’s disease

• Authors : Luba Smolensky; Ninad Amondikar; Karen Crawford

Subjects: Data descriptor; Gerontology; Data Descriptor

• Source: Scientific Data, Vol 7, Iss 1, Pp 1-9 (2020)Scientific data, vol 7, iss 1Scientific Data

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