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Showing 161 - 180 results of 12,967 for search '(((( algorithm i function ) OR ( algorithm module function ))) OR ( algorithm python function ))*', query time: 1.51s Refine Results
  1. 161
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …”
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  2. 162
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …”
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  3. 163
    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta

    Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

    Published 2021
    “…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …”
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  4. 164
    Construction of weighted co-expression network related datasets and identification of related key modules.

    Construction of weighted co-expression network related datasets and identification of related key modules. by Wenlong Kuang (20485167)

    Published 2024
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  5. 165
    Data_Sheet_1_Dissect Relationships Between Gene Co-expression and Functional Connectivity in Human Brain.pdf

    Data_Sheet_1_Dissect Relationships Between Gene Co-expression and Functional Connectivity in Human Brain.pdf by Xue Zhang (166886)

    Published 2021
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  6. 166
    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, the temporal molecular states <i>n</i> at specific time <i>t</i> will be generated for further visualization.

    Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

    Published 2025
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  7. 167
    The structure of the proposed algorithm.

    The structure of the proposed algorithm. by Mingbao Yang (14008799)

    Published 2022
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  8. 168
    Flowchart of the clinical decision support system and the interpretable tropical geometry-based fuzzy neural network algorithm.

    Flowchart of the clinical decision support system and the interpretable tropical geometry-based fuzzy neural network algorithm. by Yufeng Zhang (195768)

    Published 2023
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  9. 169
    Functional enrichment analysis of hub genes.

    Functional enrichment analysis of hub genes. by Tingting Liu (267387)

    Published 2025
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  10. 170
    Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback.

    Illustration of PyNoetic’s 2D and 3D simulation module with visual feedback. by Gursimran Singh (575288)

    Published 2025
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  11. 171
    PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP.

    PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

    Published 2025
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  12. 172
    Integration of the simulation module with the optimization module.

    Integration of the simulation module with the optimization module. by Ludovica Adacher (11238189)

    Published 2021
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  13. 173
    Fig 1 -

    Fig 1 - by Lulu Gong (18707874)

    Published 2024
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  14. 174
    Three main modules involved in the identification of ceRNA-miRNA triplets.

    Three main modules involved in the identification of ceRNA-miRNA triplets. by Yi-Wen Hsiao (13767916)

    Published 2022
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  15. 175
    Comparison of algorithms in two cases.

    Comparison of algorithms in two cases. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  16. 176
    Flow of the NSGA-II algorithm.

    Flow of the NSGA-II algorithm. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  17. 177
    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.

    PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA. by Gursimran Singh (575288)

    Published 2025
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  18. 178
    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data

    A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

    Published 2022
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  19. 179
    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements

    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”
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  20. 180
    Comparison of percent virus inactivation and syncytia formation as a function of incubation pH.

    Comparison of percent virus inactivation and syncytia formation as a function of incubation pH. by Guohua Yang (35464)

    Published 2021
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