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fold decrease » fold increase (Expand Search), fold increased (Expand Search)
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Showing 41 - 60 results of 27,551 for search '(( 100 fold decrease ) OR ( 50 ((((ng decrease) OR (nn decrease))) OR (a decrease)) ))', query time: 0.75s Refine Results
  1. 41
    MPI knockdown decreases migration of human glioblastoma cells.

    MPI knockdown decreases migration of human glioblastoma cells. by Aurélie Cazet (644004)

    Published 2014
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  2. 42
    2-APB decreased the cytokine secretions in human DC.

    2-APB decreased the cytokine secretions in human DC. by Romain Félix (586765)

    Published 2013
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  3. 43
    IL-1β decreases RBP4 production.

    IL-1β decreases RBP4 production. by Primoz Kotnik (382835)

    Published 2013
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  4. 44
    Receptor specific silencing decreases NGF induced apoptosis.

    Receptor specific silencing decreases NGF induced apoptosis. by Alessandra Micera (294762)

    Published 2013
    “…A 37.5%-decrease (*) and a 50%-decrease (**) of apoptotic signal were detected respectively in p75<sup>NTR</sup>-siRNA and p75<sup>NTR</sup>/trkA<sup>NGFR</sup>-siRNA (p<.05).…”
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  5. 45
    FHL2 silencing decreases osteosarcoma cell growth.

    FHL2 silencing decreases osteosarcoma cell growth. by Julia Brun (286504)

    Published 2013
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  6. 46
    Telomerase inhibition decreases the proliferation and tube formation of HUVECs.

    Telomerase inhibition decreases the proliferation and tube formation of HUVECs. by Nadine Mahfouz (4097566)

    Published 2017
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  7. 47
    Analysis of CFU of streak cultures from BAL fluid (100 μL/plate).

    Analysis of CFU of streak cultures from BAL fluid (100 μL/plate). by Henning Carstens (13132801)

    Published 2022
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  8. 48
    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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  9. 49
    Primers used for analysis of four SNPs in one gene.

    Primers used for analysis of four SNPs in one gene. by Winnie Okore (14139712)

    Published 2024
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  10. 50
    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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  11. 51
    Performance of selected drugs against field isolates during the study period.

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

    Published 2024
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  12. 52
    <i>In vitro</i> susceptibility responses of field isolates to antimalarials during the study period.

    <i>In vitro</i> susceptibility responses of field isolates to antimalarials during the study period. by Winnie Okore (14139712)

    Published 2024
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  13. 53
    <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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  14. 54
    Frequency of SNPs in <i>Pfmrp1</i> gene in field isolates during the study period.

    Frequency of SNPs in <i>Pfmrp1</i> gene in field isolates during the study period. by Winnie Okore (14139712)

    Published 2024
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  15. 55
    <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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  16. 56
    Flow cytometry analysis of cancer LS174T and normal IEC-18 cells before and after 120h treatment with bifidobacteria cocktail (100 bacteria/cell), cetuximab and trastuzumab.

    Flow cytometry analysis of cancer LS174T and normal IEC-18 cells before and after 120h treatment with bifidobacteria cocktail (100 bacteria/cell), cetuximab and trastuzumab. by Asadollahi Parisa (8837432)

    Published 2020
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  17. 57
    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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  18. 58
    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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  19. 59
    Stat1 activation is strongly decreased by MNV-S99 infection.

    Stat1 activation is strongly decreased by MNV-S99 infection. by Sandra Niendorf (2832785)

    Published 2016
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  20. 60
    Exogenous FGF4 decreases osteogenic differentiation of mESCs.

    Exogenous FGF4 decreases osteogenic differentiation of mESCs. by Sung-Ho Kook (445098)

    Published 2013
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