Search Results - "Gene Expression Profiling/statistics & numerical data"

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    Source: Nature Medicine, vol 27, iss 3
    Nature Medicine

    Subject Terms: Male, 0301 basic medicine, Coronaviruses, Cathepsin L, Respiratory System, Datasets as Topic, 32 Biomedical and Clinical Sciences, Lung/metabolism, Organ Specificity/genetics, 80 and over, 2.1 Biological and endogenous factors, Lung, COVID-19/epidemiology, Aged, 80 and over, QH3011 Biochemistry / biokémia, anzsrc-for: 42 Health sciences, Serine Endopeptidases, 3 Good Health and Well Being, General Medicine, Middle Aged, Host-Pathogen Interactions/genetics, 3. Good health, Angiotensin-Converting Enzyme 2/genetics, Infectious Diseases, Datasets as Topic/statistics & numerical data, Respiratory System/metabolism, Cathepsin L/genetics, Organ Specificity, Host-Pathogen Interactions, Respiratory, NHLBI LungMap Consortium, Female, Angiotensin-Converting Enzyme 2, Single-Cell Analysis, RNA/methods, Sequence Analysis, Adult, 1.1 Normal biological development and functioning, Alveolar Epithelial Cells/metabolism, Immunology, Genetics and Molecular Biology, Serine Endopeptidases/genetics, QR355 Virology / víruskutatás, 03 medical and health sciences, anzsrc-for: 32 Biomedical and Clinical Sciences, Genetics, Humans, Gene Expression Profiling/statistics & numerical data, Transcriptomics, Aged, Demography, Human Cell Atlas Lung Biological Network, SARS-CoV-2, Sequence Analysis, RNA, Gene Expression Profiling, Single-Cell Analysis/methods, COVID-19, Virus Internalization, Computational biology and bioinformatics, Emerging Infectious Diseases, anzsrc-for: 11 Medical and Health Sciences, Viral infection, Alveolar Epithelial Cells, General Biochemistry, RNA, SARS-CoV-2/physiology

    File Description: application/pdf; text

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    Source: Nat Genet
    Finucane, H K, Reshef, Y A, Anttila, V, Slowikowski, K, Gusev, A, Byrnes, A, Gazal, S, Loh, P-R, Lareau, C, Shoresh, N, Genovese, G, Saunders, A, Macosko, E, Pollack, S, Brainstorm Consortium, Perry, J R B, Buenrostro, J D, Bernstein, B E, Raychaudhuri, S, McCarroll, S, Neale, B M & Price, A L 2018, 'Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types', Nature Genetics, vol. 50, no. 4, pp. 621-629. https://doi.org/10.1038/s41588-018-0081-4

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    Source: Finucane, H K, Reshef, Y A, Anttila, V, Slowikowski, K, Gusev, A, Byrnes, A, Gazal, S, Loh, P-R, Lareau, C, Shoresh, N, Genovese, G, Saunders, A, Macosko, E, Pollack, S, Brainstorm Consortium, Perry, J R B, Buenrostro, J D, Bernstein, B E, Raychaudhuri, S, McCarroll, S, Neale, B M & Price, A L 2018, 'Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types', Nature Genetics, vol. 50, no. 4, pp. 621-629. https://doi.org/10.1038/s41588-018-0081-4

    Relation: info:eu-repo/semantics/altIdentifier/pmid/29632380; info:eu-repo/semantics/altIdentifier/wos/000429529300022; info:eu-repo/semantics/altIdentifier/pissn/1061-4036; info:eu-repo/semantics/altIdentifier/eissn/1546-1718

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    Source: Biostatistics. 11:281-289

    File Description: application/pdf

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    Source: Nature Methods. 5:613-619

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    Source: Experimental Neurology. 194:320-332

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