Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
based function » based functional (Expand Search), basis function (Expand Search), basis functions (Expand Search)
algorithm l » algorithm cl (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
l function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
Showing 61 - 80 results of 11,108 for search '(( algorithm based function ) OR ((( algorithm python function ) OR ( algorithm l function ))))*', query time: 0.76s Refine Results
  1. 61
    Hierarchical communities obtained from CoV-human network using the “community-based” visualization option provided by UNIPred-Web.

    Hierarchical communities obtained from CoV-human network using the “community-based” visualization option provided by UNIPred-Web. by Paolo Perlasca (9909695)

    Published 2020
    Save to List
    Saved in:
  2. 62
    Graphical illustration of the JF algorithm.

    Graphical illustration of the JF algorithm. by Bernd Porr (32394)

    Published 2024
    Save to List
    Saved in:
  3. 63
    Functional validation of the metastasis-predictive genes inferred by PLUS from TCGA data.

    Functional validation of the metastasis-predictive genes inferred by PLUS from TCGA data. by Junyi Zhou (495644)

    Published 2022
    Save to List
    Saved in:
  4. 64
    Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems)

    Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) by L. D. Marks (1949689)

    Published 2021
    “…Density functional theory calculations use a significant fraction of current supercomputing time. …”
    Save to List
    Saved in:
  5. 65
    Distinct microbial and functional composition between age groups.

    Distinct microbial and functional composition between age groups. by Elio L. Herzog (11576876)

    Published 2021
    Subjects: “…applying independent algorithms…”
    Save to List
    Saved in:
  6. 66
    The probability of an undetectable error as a function of the number of redundant channels and the number of adversarial faults.

    The probability of an undetectable error as a function of the number of redundant channels and the number of adversarial faults. by Edward L. Platt (6551294)

    Published 2019
    Save to List
    Saved in:
  7. 67
    Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ<sub><i>G</i></sub> = 0.05, λ<sub><i>L</i></sub> = 0.01.

    Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ<sub><i>G</i></sub> = 0.05, λ<sub><i>L</i></sub> = 0.01. by Li Jiashen (20552690)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 68
    Comparison of the top five upregulated and top five downregulated molecular function GO terms of Unipept with the molecular function GO terms from the other tools from the oral dysbiosis dataset.

    Comparison of the top five upregulated and top five downregulated molecular function GO terms of Unipept with the molecular function GO terms from the other tools from the oral dys... by Ray Sajulga (5721518)

    Published 2020
    Save to List
    Saved in:
  9. 69
    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>G</i></sub> = 2, adjusting the size of the parameter λ<sub><i>L</i></sub>.

    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>G</i></sub> = 2, adjusting the size of the parameter λ<sub><i>L</i></sub>. by Li Jiashen (20552690)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  10. 70
    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>L</i></sub> = 10, adjusting the size of the parameter λ<sub><i>G</i></sub>.

    Generalized S-transform result plots of the signal h(t) corresponding to the fixed parameter λ<sub><i>L</i></sub> = 10, adjusting the size of the parameter λ<sub><i>G</i></sub>. by Li Jiashen (20552690)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  11. 71
    Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set?

    Tapping on the Black Box: How Is the Scoring Power of a Machine-Learning Scoring Function Dependent on the Training Set? by Minyi Su (1425976)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  12. 72
    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation

    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  13. 73
    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation

    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  14. 74
    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation

    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  15. 75
    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation

    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  16. 76
    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation

    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  17. 77
    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation

    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  18. 78
    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation

    Programmable Droplet Microfluidics Based on Machine Learning and Acoustic Manipulation by Kyriacos Yiannacou (10292766)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  19. 79
    Classifier based on neural networks.

    Classifier based on neural networks. by Artem S. Kasianov (8783363)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  20. 80
    <sup>a</sup>Two HIV-1 protease mutants bound to inhibitor darunavir (G48V: PDB ID 3cyw [81] & L90M: PDB ID 2f81 [82]).

    <sup>a</sup>Two HIV-1 protease mutants bound to inhibitor darunavir (G48V: PDB ID 3cyw [81] & L90M: PDB ID 2f81 [82]). by Yuxi Long (11024307)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: