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Showing 1,821 - 1,840 results of 102,485 for search '(( 50 ((teer decrease) OR (mean decrease)) ) OR ( 5 ((wt decrease) OR (a decrease)) ))', query time: 1.73s Refine Results
  1. 1821
    A37 increases the M1 protein stability and viral pathogenicity of H5N6 virus.

    A37 increases the M1 protein stability and viral pathogenicity of H5N6 virus. by Chenxi Wang (284364)

    Published 2022
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  2. 1822
    Lack of i6A37 is not responsible for <i>maf1-</i>antisuppression phenotype.

    Lack of i6A37 is not responsible for <i>maf1-</i>antisuppression phenotype. by Aneeshkumar G. Arimbasseri (840654)

    Published 2015
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  3. 1823
    Inactivation of MnuA and 5′-NT reduced bacterial fitness and virulence of <i>M</i>. <i>bovis</i> PG45 in mammary glands.

    Inactivation of MnuA and 5′-NT reduced bacterial fitness and virulence of <i>M</i>. <i>bovis</i> PG45 in mammary glands. by Aga E. Gelgie (17661720)

    Published 2024
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  4. 1824
    Sampled locations with banana in 2016.

    Sampled locations with banana in 2016. by Dennis Ochola (11626912)

    Published 2022
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  5. 1825
    Fig 3 -

    Fig 3 - by Dennis Ochola (11626912)

    Published 2022
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  6. 1826
    Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level.

    Classification and regression tree (CART) showing the biophysical factors associated with geographic shift in banana at national level. by Dennis Ochola (11626912)

    Published 2022
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  7. 1827
    Scanned map of historical locations with banana in 1958.

    Scanned map of historical locations with banana in 1958. by Dennis Ochola (11626912)

    Published 2022
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  8. 1828
    Fig 6 -

    Fig 6 - by Dennis Ochola (11626912)

    Published 2022
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  9. 1829
    Fig 9 -

    Fig 9 - by Dennis Ochola (11626912)

    Published 2022
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  10. 1830
    Fig 7 -

    Fig 7 - by Dennis Ochola (11626912)

    Published 2022
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  11. 1831
    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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  12. 1832
    Fig 4 -

    Fig 4 - by Dennis Ochola (11626912)

    Published 2022
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  13. 1833
    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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  14. 1834
    Geographic shifts of banana in Uganda.

    Geographic shifts of banana in Uganda. by Dennis Ochola (11626912)

    Published 2022
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  15. 1835
    Average nearest neighbour analysis before and after filtering of data points.

    Average nearest neighbour analysis before and after filtering of data points. by Dennis Ochola (11626912)

    Published 2022
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  16. 1836
    List of 12 covariates selected subjectively and their underlying reasons for their selection.

    List of 12 covariates selected subjectively and their underlying reasons for their selection. by Dennis Ochola (11626912)

    Published 2022
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  17. 1837
    Comparison between logistic regression models of different complexity and structure derived from the 12 covariates chosen using subjective feature selection.

    Comparison between logistic regression models of different complexity and structure derived from the 12 covariates chosen using subjective feature selection. by Dennis Ochola (11626912)

    Published 2022
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  18. 1838
    Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood.

    Summary results of the logistic regression model M2-12 including the significant two-way interactions to maximise loglikelihood. by Dennis Ochola (11626912)

    Published 2022
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  19. 1839
    Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations.

    Predicted banana distribution map (2016) using logistic regression model M2-12 fitted using 12 covariates and significant two-way combinations. by Dennis Ochola (11626912)

    Published 2022
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  20. 1840
    Aggregated agroecological zones of Uganda (adapted from Wortmann & Eledu, 1999).

    Aggregated agroecological zones of Uganda (adapted from Wortmann & Eledu, 1999). by Dennis Ochola (11626912)

    Published 2022
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