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1دورية أكاديمية
المؤلفون: Robert Chu
المصدر: Blockchain in Healthcare Today, Vol 6, Iss 1 (2023)
مصطلحات موضوعية: blockchain for reproducibility, fda, blockchain in life sciences, bioinformatics, genomic data sets, molecular data sets, sharing raw genomic data, reproducibility, precision medicine, privacy assurance, Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
العلاقة: https://blockchainhealthcaretoday.com/index.php/journal/article/view/255Test; https://doaj.org/toc/2573-8240Test
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2دورية أكاديمية
المؤلفون: Ryan M. Cecil, Lauren A. Sugden
مصطلحات موضوعية: Genetics, Neuroscience, Evolutionary Biology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, unlike previous approaches, simulated genome sequences, rely upon human, minimal complexity needed, maintain comparable performance, logical next step, learned prediction method, evaluate feature importance, convolutional neural networks, defined summary statistics, crafted summary statistics, raw genomic data, population genetic data, learned evolutionary signatures, learning novel patterns, less well understood, summary statistic, population genetics, genomic footprints, evolutionary processes,
%22">xlink ">, wider community, selective sweeps, representative cnn, one case الإتاحة: https://doi.org/10.1371/journal.pcbi.1010979.s002Test
https://figshare.com/articles/journal_contribution/Supplementary_material_/24644704Test -
3دورية أكاديمية
مصطلحات موضوعية: Biomedical and clinical sciences, Health services and systems, Law and legal studies, Environmental and resources law, Law in context, Public law, Philosophy and religious studies, Australia, Confidentiality, Genomics, Humans, Privacy, freedom of information, identifiability, raw genomic data
العلاقة: http://hdl.handle.net/10779/DRO/DU:25255087.v2Test; https://figshare.com/articles/journal_contribution/They_Can_Have_Our_Cake_-_But_Can_We_Eat_It_Access_to_Raw_Genomic_Data_under_Australian_Privacy_Law/25255087Test
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4
المؤلفون: Ryan M. Cecil, Lauren A. Sugden
مصطلحات موضوعية: Genetics, Neuroscience, Evolutionary Biology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, unlike previous approaches, simulated genome sequences, rely upon human, minimal complexity needed, maintain comparable performance, logical next step, learned prediction method, evaluate feature importance, convolutional neural networks, defined summary statistics, crafted summary statistics, raw genomic data, population genetic data, learned evolutionary signatures, learning novel patterns, less well understood, summary statistic, population genetics, genomic footprints, evolutionary processes,
%22">xlink ">, wider community, selective sweeps, representative cnn, one case الإتاحة: https://doi.org/10.1371/journal.pcbi.1010979.s001Test
https://figshare.com/articles/dataset/Convolutional_neural_networks_for_detection_of_selective_sweeps_/24644701Test -
5صورة
المؤلفون: Ryan M. Cecil, Lauren A. Sugden
مصطلحات موضوعية: Genetics, Neuroscience, Evolutionary Biology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, unlike previous approaches, simulated genome sequences, rely upon human, minimal complexity needed, maintain comparable performance, logical next step, learned prediction method, evaluate feature importance, convolutional neural networks, defined summary statistics, crafted summary statistics, raw genomic data, population genetic data, learned evolutionary signatures, learning novel patterns, less well understood, summary statistic, population genetics, genomic footprints, evolutionary processes,
%22">xlink ">, wider community, selective sweeps, representative cnn, one case الإتاحة: https://doi.org/10.1371/journal.pcbi.1010979.g004Test
https://figshare.com/articles/figure/Zero-padding_induces_the_model_to_attend_to_the_width_of_the_unprocessed_image_/24644716Test -
6صورة
المؤلفون: Ryan M. Cecil, Lauren A. Sugden
مصطلحات موضوعية: Genetics, Neuroscience, Evolutionary Biology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, unlike previous approaches, simulated genome sequences, rely upon human, minimal complexity needed, maintain comparable performance, logical next step, learned prediction method, evaluate feature importance, convolutional neural networks, defined summary statistics, crafted summary statistics, raw genomic data, population genetic data, learned evolutionary signatures, learning novel patterns, less well understood, summary statistic, population genetics, genomic footprints, evolutionary processes,
%22">xlink ">, wider community, selective sweeps, representative cnn, one case الإتاحة: https://doi.org/10.1371/journal.pcbi.1010979.g001Test
https://figshare.com/articles/figure/Typical_workflow_for_CNNs_for_sweep_detection_and_construction_of_a_minimal_CNN_/24644707Test -
7صورة
المؤلفون: Ryan M. Cecil, Lauren A. Sugden
مصطلحات موضوعية: Genetics, Neuroscience, Evolutionary Biology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, unlike previous approaches, simulated genome sequences, rely upon human, minimal complexity needed, maintain comparable performance, logical next step, learned prediction method, evaluate feature importance, convolutional neural networks, defined summary statistics, crafted summary statistics, raw genomic data, population genetic data, learned evolutionary signatures, learning novel patterns, less well understood, summary statistic, population genetics, genomic footprints, evolutionary processes,
%22">xlink ">, wider community, selective sweeps, representative cnn, one case الإتاحة: https://doi.org/10.1371/journal.pcbi.1010979.g002Test
https://figshare.com/articles/figure/Opening_the_black_box_Visual_explanations_of_mini-CNN_and_Imagene_/24644710Test -
8صورة
المؤلفون: Ryan M. Cecil, Lauren A. Sugden
مصطلحات موضوعية: Genetics, Neuroscience, Evolutionary Biology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, unlike previous approaches, simulated genome sequences, rely upon human, minimal complexity needed, maintain comparable performance, logical next step, learned prediction method, evaluate feature importance, convolutional neural networks, defined summary statistics, crafted summary statistics, raw genomic data, population genetic data, learned evolutionary signatures, learning novel patterns, less well understood, summary statistic, population genetics, genomic footprints, evolutionary processes,
%22">xlink ">, wider community, selective sweeps, representative cnn, one case العلاقة: https://figshare.com/articles/figure/Comparison_of_CNNs_with_Garud_s_H1_and_iHS_/24644713Test
الإتاحة: https://doi.org/10.1371/journal.pcbi.1010979.g003Test
https://figshare.com/articles/figure/Comparison_of_CNNs_with_Garud_s_H1_and_iHS_/24644713Test -
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المؤلفون: Ryan M. Cecil, Lauren A. Sugden
مصطلحات موضوعية: Genetics, Neuroscience, Evolutionary Biology, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, unlike previous approaches, simulated genome sequences, rely upon human, minimal complexity needed, maintain comparable performance, logical next step, learned prediction method, evaluate feature importance, convolutional neural networks, defined summary statistics, crafted summary statistics, raw genomic data, population genetic data, learned evolutionary signatures, learning novel patterns, less well understood, summary statistic, population genetics, genomic footprints, evolutionary processes,
%22">xlink ">, wider community, selective sweeps, representative cnn, one case الإتاحة: https://doi.org/10.1371/journal.pcbi.1010979.t001Test
https://figshare.com/articles/dataset/Performance_comparison_/24644719Test -
10دورية أكاديمية
المؤلفون: Adrian Thorogood (Centre of Genomics and Policy, Department of Human Genetics, McGill University Faculty of Medicine), Jason Bobe (Icahn School of Medicine at Mount Sinai), Barbara Prainsack (Department of Political Science, Faculty of Social Sciences, University of Vienna), Anna Middleton (Society and Ethics Research, Connecting Science, Wellcome Genome Campus), Erick Scott (Icahn Institute for Genomics & Multiscale Biology), Sarah Nelson (University of Washington), Manuel Corpas (Cambridge Precision Medicine), Natasha Bonhomme (Genetic Alliance), Laura Lyman Rodriguez (National Human Genome Research Institute, National Institutes of Health, USA), Madeleine Murtagh (Newcastle University), Erika Kleiderman (Centre of Genomics and Policy, Department of Human Genetics, McGill University Faculty of Medicine)
المصدر: Human Genomics
مصطلحات موضوعية: Ethics, Law, Genomic data, Individual access, Whole genome sequencing, Direct-to-consumer, Privacy, Raw genomic data, Patient engagement, Citizen science
وصف الملف: application/pdf
العلاقة: isPartOf:https://phaidra.univie.ac.at/o:243553Test[u:scholar collection]; hdl:11353/10.1047935; https://phaidra.univie.ac.at/o:1047935Test