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mean decrease » a decrease (Expand Search)
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Showing 1 - 20 results of 29,940 for search '(((( 19 _ decrease ) OR ( 50 ((ng decrease) OR (mean decrease)) ))) OR ( 5 nn decrease ))', query time: 0.45s Refine Results
  1. 1
    <i>In vitro</i> 95% CI lower and upper mean susceptibility responses of field isolates to antimalarials.

    <i>In vitro</i> 95% CI lower and upper mean susceptibility responses of field isolates to antimalarials. by Winnie Okore (14139712)

    Published 2024
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  2. 2
    IC<sub>50</sub>s data of antimalarials against controls.

    IC<sub>50</sub>s data of antimalarials against controls. by Winnie Okore (14139712)

    Published 2024
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  3. 3
    Drugs IC<sub>50</sub>s data during the study period.

    Drugs IC<sub>50</sub>s data during the study period. by Winnie Okore (14139712)

    Published 2024
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  4. 4
    SNPs IC<sub>50</sub>s data at codon 876 during the study period.

    SNPs IC<sub>50</sub>s data at codon 876 during the study period. by Winnie Okore (14139712)

    Published 2024
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  5. 5
    Baseline clinical profile of hospitalized COVID-19 patients with low and high renalase.

    Baseline clinical profile of hospitalized COVID-19 patients with low and high renalase. by Basmah Safdar (12213257)

    Published 2022
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  6. 6
    Variable importance plot (mean decrease accuracy and mean decrease Gini).

    Variable importance plot (mean decrease accuracy and mean decrease Gini). by Fernando Martinez-Taboada (8655132)

    Published 2020
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  7. 7
    Association of polymorphic IC<sub>50s</sub> versus wild<i>-</i>type at codon 876 in selected drugs tested.

    Association of polymorphic IC<sub>50s</sub> versus wild<i>-</i>type at codon 876 in selected drugs tested. by Winnie Okore (14139712)

    Published 2024
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  8. 8
    Detection of the Challenging mutations at 1% VAF and 50 ng DNA input.

    Detection of the Challenging mutations at 1% VAF and 50 ng DNA input. by Lizhi Yu (12476136)

    Published 2022
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  9. 9
    Hypothesis that explains and predicts expansion of ages of KD due to decreased IgG levels.

    Hypothesis that explains and predicts expansion of ages of KD due to decreased IgG levels. by Hiromi Yamaguchi (2396248)

    Published 2022
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  10. 10
    Mean and standard deviation of the three dimensions and of the global score of STS before COVID-19.

    Mean and standard deviation of the three dimensions and of the global score of STS before COVID-19. by Martina Gnerre (12329356)

    Published 2022
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  11. 11
    Mean and standard deviation of the three dimensions and of the global score of STS during COVID-19.

    Mean and standard deviation of the three dimensions and of the global score of STS during COVID-19. by Martina Gnerre (12329356)

    Published 2022
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  12. 12
    Mean and standard deviation of the three dimensions and of the global score of STS after COVID-19.

    Mean and standard deviation of the three dimensions and of the global score of STS after COVID-19. by Martina Gnerre (12329356)

    Published 2022
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  13. 13
    Effect of melatonin (50 μM) on the TGF-β1 (10 ng/mL, 72 h)-mediated TGF-β1/Smad pathway and EMT in HBdSMCs.

    Effect of melatonin (50 μM) on the TGF-β1 (10 ng/mL, 72 h)-mediated TGF-β1/Smad pathway and EMT in HBdSMCs. by Yang Zhang (30734)

    Published 2024
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  14. 14
    Overlap between provinces with an anomalous decrease in hunting licences and excess mortality, for 2020–2021 and 2021–2022.

    Overlap between provinces with an anomalous decrease in hunting licences and excess mortality, for 2020–2021 and 2021–2022. by Jacopo Cerri (6271958)

    Published 2024
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  15. 15
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  16. 16
    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection.

    Predictions of random forests (RF), gradient boosting machines (GBM), and neural networks (NN) trained on 17 covariates selected after recursive feature selection. by Dennis Ochola (11626912)

    Published 2022
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  17. 17
    Lymphocytes decreased in mouse pneumonia model.

    Lymphocytes decreased in mouse pneumonia model. by Qi Xu (134661)

    Published 2025
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  18. 18
    Number of samples per site during the study period.

    Number of samples per site during the study period. by Winnie Okore (14139712)

    Published 2024
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  19. 19
    Performance of selected antimalarials against field isolates during the study period.

    Performance of selected antimalarials against field isolates during the study period. by Winnie Okore (14139712)

    Published 2024
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  20. 20
    <i>Pfmrp1</i> gene SNPs data during the study period.

    <i>Pfmrp1</i> gene SNPs data during the study period. by Winnie Okore (14139712)

    Published 2024
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