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Showing 141 - 160 results of 1,197 for search '(( algorithm brain functional ) OR ((( algorithm python function ) OR ( algorithm f7 function ))))', query time: 0.53s Refine Results
  1. 141
    The Blood–Brain Barrier (BBB) Score

    The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

    Published 2019
    “…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”
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  2. 142
    The Blood–Brain Barrier (BBB) Score

    The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

    Published 2019
    “…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”
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  3. 143
    The Blood–Brain Barrier (BBB) Score

    The Blood–Brain Barrier (BBB) Score by Mayuri Gupta (1886839)

    Published 2019
    “…An algorithm, designated “BBB Score”, composed of stepwise and polynomial piecewise functions, is herein proposed for predicting BBB penetration based on five physicochemical descriptors: number of aromatic rings, heavy atoms, MWHBN (a descriptor comprising molecular weight, hydrogen bond donor, and hydrogen bond acceptors), topological polar surface area, and pKa. …”
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  4. 144
    Fig 1 -

    Fig 1 - by Anant Shinde (3954662)

    Published 2023
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  5. 145
    The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation.

    The top 2 ROI pairs contributing towards the classification of multi-electrode stimulation. by Anant Shinde (3954662)

    Published 2023
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  6. 146
    VAS tolerability scores (min = 0, max = 10) of all sessions of all participants.

    VAS tolerability scores (min = 0, max = 10) of all sessions of all participants. by Anant Shinde (3954662)

    Published 2023
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  7. 147
    Fig 6 -

    Fig 6 - by Anant Shinde (3954662)

    Published 2023
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  8. 148
    Accuracy across different ROIs for the classification shown by various models.

    Accuracy across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

    Published 2023
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  9. 149
    Data preprocessing flow-chart.

    Data preprocessing flow-chart. by Anant Shinde (3954662)

    Published 2023
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  10. 150
    Time taken for data processing up to prediction, varying the number of ROIs used.

    Time taken for data processing up to prediction, varying the number of ROIs used. by Anant Shinde (3954662)

    Published 2023
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  11. 151
    Accuracy of models to classify different stimulations.

    Accuracy of models to classify different stimulations. by Anant Shinde (3954662)

    Published 2023
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  12. 152
    ROC and MCC across different ROIs for the classification shown by various models.

    ROC and MCC across different ROIs for the classification shown by various models. by Anant Shinde (3954662)

    Published 2023
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  13. 153
    Fig 2 -

    Fig 2 - by Anant Shinde (3954662)

    Published 2023
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  14. 154
    Fig 5 -

    Fig 5 - by Anant Shinde (3954662)

    Published 2023
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  15. 155
    Code snippets to add user-specific custom functionality in PyNoetic.

    Code snippets to add user-specific custom functionality in PyNoetic. by Gursimran Singh (575288)

    Published 2025
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  16. 156
    Python implementation from Symplectic decomposition from submatrix determinants

    Python implementation from Symplectic decomposition from submatrix determinants by Jason L. Pereira (11598632)

    Published 2021
    “…Python implementation of the algorithm and demonstration of how to use the functions.…”
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  17. 157
    Data_Sheet_1_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX

    Data_Sheet_1_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX by Raymond Salvador (813880)

    Published 2020
    “…On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …”
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  18. 158
    Data_Sheet_2_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX

    Data_Sheet_2_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX by Raymond Salvador (813880)

    Published 2020
    “…On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …”
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  19. 159
    Data_Sheet_3_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX

    Data_Sheet_3_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX by Raymond Salvador (813880)

    Published 2020
    “…On the one hand, simple linear functions of all brain nodes were fitted with ridge regression. …”
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  20. 160
    The skeleton algorithm identifies mitochondrial density in sample images from cells.

    The skeleton algorithm identifies mitochondrial density in sample images from cells. by Margarita M. Ivanova (11604141)

    Published 2021
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