يعرض 1 - 3 نتائج من 3 نتيجة بحث عن '"Department of Quantitative Biomedicine"', وقت الاستعلام: 0.80s تنقيح النتائج
  1. 1
    Predicting base editing outcomes with an attention-based deep learning algorithm trained on high-throughput target library screens

    المؤلفون: Gerald Schwank, Ahmed A. Allam, Nina Frey, Sharan Janjuha, Michael Krauthammer, Kim Marquart, Anna Sintsova, Lukas Villiger

    المساهمون: University of Zurich, Krauthammer, Michael, Schwank, Gerald

    المصدر: Nature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
    Nature Communications
    Nature Communications, 12 (1)

    مصطلحات موضوعية: CRISPR-Cas9 genome editing, Computer science, Base pair, Science, 10050 Institute of Pharmacology and Toxicology, General Physics and Astronomy, 610 Medicine & health, 1600 General Chemistry, Genomics, Article, General Biochemistry, Genetics and Molecular Biology, Deep Learning, Genome editing, 1300 General Biochemistry, Genetics and Molecular Biology, Basic research, Machine learning, Humans, Data mining, Base Pairing, Throughput (business), Gene Library, Gene Editing, Genome, Multidisciplinary, business.industry, Deep learning, High-Throughput Nucleotide Sequencing, General Chemistry, Base (topology), 3100 General Physics and Astronomy, genomic DNA, 570 Life sciences, biology, Artificial intelligence, business, 11493 Department of Quantitative Biomedicine, Algorithm, Algorithms

    وصف الملف: s41467-021-25375-z.pdf - application/pdf; 2020.07.05.186544.full.pdf - application/pdf; application/application/pdf

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95aa804166a272f8f2463b99035f04b9Test
    https://doaj.org/article/c9632ae8e3554eb0a6f6c3e3694e3ef8Test


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  2. 2
    Synaptic FUS accumulation triggers early misregulation of synaptic RNAs in a mouse model of ALS

    المؤلفون: Pierre De Rossi, Marian Hruska-Plochan, Magdalini Polymenidou, Mark D. Robinson, Elena Tantardini, Luc Dupuis, Salim Megat, Julien Weber, Katharina M. Hembach, Petra Schwarz, Sonu Sahadevan, Manuela Pérez-Berlanga

    المساهمون: Universität Zürich [Zürich] = University of Zurich (UZH), Mécanismes Centraux et Périphériques de la Neurodégénérescence, Université de Strasbourg (UNISTRA)-Institut National de la Santé et de la Recherche Médicale (INSERM), University hospital of Zurich [Zurich], Dieterle, Stéphane, University of Zurich, Polymenidou, Magdalini

    المصدر: Nature Communications
    Nature Communications, 2021, 12 (1), pp.3027. ⟨10.1038/s41467-021-23188-8⟩
    Nature Communications, Vol 12, Iss 1, Pp 1-17 (2021)
    Nature Communications, Nature Publishing Group, 2021, 12 (1), pp.3027. ⟨10.1038/s41467-021-23188-8⟩

    مصطلحات موضوعية: 0301 basic medicine, [SDV]Life Sciences [q-bio], General Physics and Astronomy, MESH: Synapses, Synapse, Mice, 0302 clinical medicine, MESH: Animals, Amyotrophic lateral sclerosis, MESH: Amyotrophic Lateral Sclerosis, Cerebral Cortex, Multidisciplinary, MESH: RNA-Binding Protein FUS, Neurodegeneration, 10124 Institute of Molecular Life Sciences, 3100 General Physics and Astronomy, Cell biology, [SDV] Life Sciences [q-bio], GABAergic, Microtubule-Associated Proteins, MESH: Cell Nucleus, Science, 1600 General Chemistry, Genetics and Molecular Biology, Biology, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, 1300 General Biochemistry, Genetics and Molecular Biology, MESH: Mice, Inbred C57BL, MESH: RNA, medicine, Animals, RNA, Messenger, Synapse organization, MESH: Mice, MESH: RNA, Messenger, RNA metabolism, Cell Nucleus, Messenger RNA, Amyotrophic Lateral Sclerosis, RNA, General Chemistry, medicine.disease, MESH: Cerebral Cortex, Mice, Inbred C57BL, MESH: Microtubule-Associated Proteins, Disease Models, Animal, 030104 developmental biology, General Biochemistry, Synapses, 570 Life sciences, biology, RNA-Binding Protein FUS, MESH: Disease Models, Animal, 11493 Department of Quantitative Biomedicine, 030217 neurology & neurosurgery, Nuclear localization sequence

    وصف الملف: application/pdf; s41467-021-23188-8.pdf - application/pdf

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d25f78716746210d29de409928a9fe4aTest
    http://europepmc.org/articles/PMC8140117Test


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  3. 3
    Deep learning-enabled multi-organ segmentation in whole-body mouse scans

    المؤلفون: Schoppe, Oliver, Pan, Chenchen, Coronel, Javier, Mai, Hongcheng, Rong, Zhouyi, Todorov, Mihail Ivilinov, Müskes, Annemarie, Navarro, Fernando, Li, Hongwei, Ertürk, Ali, Menze, Bjoern H

    المساهمون: University of Zurich, Schoppe, Oliver, Ertürk, Ali, Menze, Bjoern H

    المصدر: Nature Communications
    Nature Communications, Vol 11, Iss 1, Pp 1-14 (2020)
    Nat. Commun. 11:5626 (2020)

    مصطلحات موضوعية: Male, Science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, General Physics and Astronomy, 610 Medicine & health, 1600 General Chemistry, Genetics and Molecular Biology, Kidney, Article, Mice, Deep Learning, Image processing, 1300 General Biochemistry, Genetics and Molecular Biology, Machine learning, Image Processing, Computer-Assisted, Animals, Whole Body Imaging, lcsh:Science, Lung, Animal Structures, Brain, Reproducibility of Results, General Chemistry, X-Ray Microtomography, 3100 General Physics and Astronomy, Mice, Inbred C57BL, Liver, General Biochemistry, lcsh:Q, Female, Anatomy, 11493 Department of Quantitative Biomedicine, Software, Algorithms, Spleen

    وصف الملف: 2020_Schoppe_Li_etal_NatureCommunic.pdf - application/pdf; application/pdf

    الوصول الحر: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::334ba00d3a520f48f0198a188295818bTest
    http://europepmc.org/articles/PMC7648799Test


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