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Showing 61 - 80 results of 1,235 for search '(( algorithm python function ) OR ((( algorithm brain function ) OR ( algorithm npc function ))))', query time: 0.31s Refine Results
  1. 61
    Haplotype analysis of 56 variants that passed p-value cut-off in the meta-analysis.

    Haplotype analysis of 56 variants that passed p-value cut-off in the meta-analysis. by Ka Wo Wong (18625847)

    Published 2024
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  2. 62
    SNP profile characterizing high risk EBV lineage.

    SNP profile characterizing high risk EBV lineage. by Ka Wo Wong (18625847)

    Published 2024
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  3. 63
    Phylogenetic and population structure analysis.

    Phylogenetic and population structure analysis. by Ka Wo Wong (18625847)

    Published 2024
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  4. 64
    Variants that passed the permuted p-value cut-off in the meta-analysis of GWAS.

    Variants that passed the permuted p-value cut-off in the meta-analysis of GWAS. by Ka Wo Wong (18625847)

    Published 2024
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  5. 65
    Summary statistics for sequencing and variant calling for 507 samples.

    Summary statistics for sequencing and variant calling for 507 samples. by Ka Wo Wong (18625847)

    Published 2024
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  6. 66
    Number of samples in each cluster carrying the 9 SNPs shared by the high-risk lineage only.

    Number of samples in each cluster carrying the 9 SNPs shared by the high-risk lineage only. by Ka Wo Wong (18625847)

    Published 2024
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  7. 67
    Sliding window analysis with a window size of 1000 nucleotides and a step size of one base-pair.

    Sliding window analysis with a window size of 1000 nucleotides and a step size of one base-pair. by Ka Wo Wong (18625847)

    Published 2024
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  8. 68
    Genotypes of 38 SNPs that characterized the high-risk EBV lineage.

    Genotypes of 38 SNPs that characterized the high-risk EBV lineage. by Ka Wo Wong (18625847)

    Published 2024
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  9. 69
    Constructing the dynamical law.

    Constructing the dynamical law. by Robert Marsland (8616483)

    Published 2020
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  10. 70
    Definitions of global parameters used for constructing random ecosystems.

    Definitions of global parameters used for constructing random ecosystems. by Robert Marsland (8616483)

    Published 2020
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  11. 71
    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function of MODELLER.

    Average quality scores of the models of the analysis set as a function of the <i>w</i><sub><i>SP</i></sub> with which the DOPE potential has been included in the objective function... by Giacomo Janson (8138517)

    Published 2019
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  12. 72
    Acurracy comparison of CCA and FBCCA algorithms.

    Acurracy comparison of CCA and FBCCA algorithms. by Hossein Hamidi Shishavan (19688384)

    Published 2024
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  13. 73
    Reward function related parameters.

    Reward function related parameters. by Honglei Pang (22693724)

    Published 2025
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  14. 74
    Precise spatial delineation of brain cell types in adult mouse brain.

    Precise spatial delineation of brain cell types in adult mouse brain. by Nuray Sogunmez Erdogan (21533872)

    Published 2025
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  15. 75
    Conceptual illustration of the affective music BCI.

    Conceptual illustration of the affective music BCI. by Stefan K. Ehrlich (6475490)

    Published 2019
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  16. 76
    BCI architecture.

    BCI architecture. by Stefan K. Ehrlich (6475490)

    Published 2019
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  17. 77
    Listening study perceptual ratings.

    Listening study perceptual ratings. by Stefan K. Ehrlich (6475490)

    Published 2019
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  18. 78
    Offline model performance results.

    Offline model performance results. by Stefan K. Ehrlich (6475490)

    Published 2019
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  19. 79
    Brain activity modulations during online application in task → happy averaged across participants P01, P04, and P05.

    Brain activity modulations during online application in task → happy averaged across participants P01, P04, and P05. by Stefan K. Ehrlich (6475490)

    Published 2019
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  20. 80
    Granger-causal information flows during task →happy in session S02 jointly computed for P01, P04, P05 (participants with good modulation performance).

    Granger-causal information flows during task →happy in session S02 jointly computed for P01, P04, P05 (participants with good modulation performance). by Stefan K. Ehrlich (6475490)

    Published 2019
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