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Showing 161 - 180 results of 738 for search '(((( algorithm python function ) OR ( algorithms mc function ))) OR ( algorithm fc function ))', query time: 0.39s Refine Results
  1. 161
    Changes in the relative abundances of signaling functions across initial GA-LR pairs.

    Changes in the relative abundances of signaling functions across initial GA-LR pairs. by Erick Armingol (5125595)

    Published 2022
    “…Changes were computed from the fold change (FC) between the relative abundance in each of the 100 runs of the genetic algorithm (GA) with respect to the corresponding relative abundance in the complete list of LR pairs (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010715#pcbi.1010715.s002" target="_blank">S1 Table</a>), and shown as the log10(FC+1) transformation (x-axis). …”
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  2. 162
    In each subplot we show in yellow the (vertical) for arm-2 as a function of the number of SNPs corresponding to each -threshold (horizontal, log-scale).

    In each subplot we show in yellow the (vertical) for arm-2 as a function of the number of SNPs corresponding to each -threshold (horizontal, log-scale). by Caroline C. McGrouther (5216153)

    Published 2025
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  3. 163
    Sparkler plot representation of functional impact of ARAF variants.

    Sparkler plot representation of functional impact of ARAF variants. by Alexis M. Thornton (11068403)

    Published 2021
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  4. 164
    Contrast enhancement of digital images using dragonfly algorithm

    Contrast enhancement of digital images using dragonfly algorithm by Soumyajit Saha (19726163)

    Published 2024
    “…Comparisons with state-of-art methods ensure the superiority of the proposed algorithm. The Python implementation of the proposed approach is available in this <a href="https://github.com/somnath796/DA_contrast_enhancement" target="_blank">Github repository</a>.…”
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  5. 165
    Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions.

    Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

    Published 2021
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  6. 166
    S1 File -

    S1 File - by Yuh-Chin T. Huang (17867207)

    Published 2024
    “…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”
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  7. 167
    S1 Dataset -

    S1 Dataset - by Yuh-Chin T. Huang (17867207)

    Published 2024
    “…In this study, we developed a computerized algorithm using the python package (pdfplumber) and validated against clinicians’ interpretation. …”
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  8. 168
    Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs.

    Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs. by Hiroyuki Ichijo (13891153)

    Published 2025
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  9. 169
    Post scan feature estimates and confidence ratings.

    Post scan feature estimates and confidence ratings. by Sam Hall-McMaster (10343795)

    Published 2025
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  10. 170
    Reward outcomes for each combination of task cue and policy in the experiment.

    Reward outcomes for each combination of task cue and policy in the experiment. by Sam Hall-McMaster (10343795)

    Published 2025
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  11. 171
    Decoding results.

    Decoding results. by Sam Hall-McMaster (10343795)

    Published 2025
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  12. 172
    Experimental design.

    Experimental design. by Sam Hall-McMaster (10343795)

    Published 2025
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  13. 173
    Decoding evidence for feature triplets on test tasks.

    Decoding evidence for feature triplets on test tasks. by Sam Hall-McMaster (10343795)

    Published 2025
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  14. 174
    Comparison of cue-locked and feedback-locked decoding.

    Comparison of cue-locked and feedback-locked decoding. by Sam Hall-McMaster (10343795)

    Published 2025
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  15. 175
    Associative memory paradigm used to train the feature decoders.

    Associative memory paradigm used to train the feature decoders. by Sam Hall-McMaster (10343795)

    Published 2025
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  16. 176
    Choices on individual test tasks were not explained by model-free perseveration.

    Choices on individual test tasks were not explained by model-free perseveration. by Sam Hall-McMaster (10343795)

    Published 2025
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  17. 177
    Subgroup analysis.

    Subgroup analysis. by Sam Hall-McMaster (10343795)

    Published 2025
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  18. 178
    Learning dynamics on training tasks.

    Learning dynamics on training tasks. by Sam Hall-McMaster (10343795)

    Published 2025
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  19. 179
    Choice behavior on individual test tasks.

    Choice behavior on individual test tasks. by Sam Hall-McMaster (10343795)

    Published 2025
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  20. 180
    Behavioral results.

    Behavioral results. by Sam Hall-McMaster (10343795)

    Published 2025
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