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GFPrint™: A machine learning tool for transforming genetic data into clinical insights

• Authors : Sanz-Martín, Guillermo; Migliore, Daniela Paula; Gómez del Campo, Pablo ...

• Source: PLOS ONE ; volume 19, issue 11, page e0311370 ; ISSN 1932-6203

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Correction: Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G)

• Source: PLOS ONE ; volume 19, issue 5, page e0303620 ; ISSN 1932-6203

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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data

• Authors : Zieliński, Krystian; Pukszta, Sebastian; Mickiewicz, Małgorzata ...

• Source: PLOS Computational Biology ; volume 19, issue 4, page e1011020 ; ISSN 1553-7358

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Cohort profile: Genetic data in the German Socio-Economic Panel Innovation Sample (SOEP-G)

• Authors : Koellinger, Philipp D.; Okbay, Aysu; Kweon, Hyeokmoon ...

• Source: PLOS ONE ; volume 18, issue 11, page e0294896 ; ISSN 1932-6203

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Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data

• Authors : Mo, Ziyi; Siepel, Adam;

• Source: PLOS Genetics ; volume 19, issue 11, page e1011032 ; ISSN 1553-7404

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From roads to biobanks: Roadkill animals as a valuable source of genetic data

• Authors : Coba-Males, Manuel Alejandro; Medrano-Vizcaíno, Pablo; Enríquez, Sandra ...

• Source: PLOS ONE ; volume 18, issue 12, page e0290836 ; ISSN 1932-6203

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An assessment of prevalence of Type 1 CFI rare variants in European AMD, and why lack of broader genetic data hinders development of new treatments and healthcare access

• Authors : Jones, Amy V.; Curtiss, Darin; Harris, Claire ...

• Source: PLOS ONE ; volume 17, issue 9, page e0272260 ; ISSN 1932-6203

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Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission

• Authors : Goldstein, Isaac H.; Bayer, Damon; Barilar, Ivan ...

• Source: PLOS Computational Biology ; volume 18, issue 12, page e1010696 ; ISSN 1553-7358

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A deep learning approach to real-time HIV outbreak detection using genetic data

• Authors : Kupperman, Michael D.; Leitner, Thomas; Ke, Ruian ...

• Source: PLOS Computational Biology ; volume 18, issue 10, page e1010598 ; ISSN 1553-7358

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Detecting steps in spatial genetic data: Which diversity measures are best?

• Authors : Sentinella, Alexander T.; Moles, Angela T.; Bragg, Jason G. ...

• Source: PLOS ONE ; volume 17, issue 3, page e0265110 ; ISSN 1932-6203

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