Showing 861 - 880 results of 48,433 for search '(( a ((mean decrease) OR (linear decrease)) ) OR ( a ((latent decrease) OR (largest decrease)) ))', query time: 0.88s Refine Results
  1. 861

    Representation in the Seed Vault of the world's 10 largest collections of selected crop genera. by Ola T. Westengen (126923)

    Published 2013
    “…The collections/countries are sorted by decreasing number of accessions. If a country holds more than one collection the percentage share of all collections are given in the bracket after the first appearance of the country on the list.…”
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    Decreased innervation and decreased epidermal thickness in STZ diabetic rats. by Shoista Kambiz (740608)

    Published 2015
    “…<p>Decreased density PGP9.5-IR nerve fibers (<b>A</b>) and average epidermal thickness (<b>F</b>) was demonstrated in the plantar skin of diabetic animals 4, 6, and 8 weeks after induction of diabetes (black bars) when compared to control (white bar). …”
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    Influenza virus infection decreases CLEC7A (Dectin1) mRNA and reduces phagocytosis of zymosan by AM. by Jieru Wang (179734)

    Published 2012
    “…PR/8 infection induced a dose-dependent decrease of uptake of zymosan. …”
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    MiR-16, -103 and -107 decrease VPS4a mRNA expression. by Neeta Adhikari (474583)

    Published 2014
    “…<p>(<b>A</b>) Expression of VPS4a mRNA in HEK 293T cells decreases following overexpression of miR-16, or -103, or -107 (n = 3). …”
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    Monitoring Low Molecular Weight Heparins at Therapeutic Levels: Dose-Responses of, and Correlations and Differences between aPTT, Anti-Factor Xa and Thrombin Generation Assays by Owain Thomas (597280)

    Published 2015
    “…</p><p>Conclusions</p><p>aPTT displays a linear dose-respone to LMWH. There is variation between aPTT assays. …”
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    Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features by David A. Knowles (557866)

    Published 2019
    “…We use ideas from Bayesian nonparametrics to automatically infer the appropriate number of these latent characteristics. The resulting analysis couples high predictive performance with interpretability since each latent characteristic involves a typically small set of drugs, cell lines and genomic features. …”
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