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Showing 141 - 160 results of 9,890 for search '(( algorithm python function ) OR ((( algorithm cell function ) OR ( algorithm its function ))))', query time: 0.48s Refine Results
  1. 141
    Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study

    Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

    Published 2024
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  2. 142
    Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study

    Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

    Published 2024
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  3. 143
    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction methods.

    A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

    Published 2025
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  4. 144
    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER.

    3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

    Published 2019
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  5. 145
    Algorithm testing.

    Algorithm testing. by Ziad M. Ali (12516532)

    Published 2024
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  6. 146
    Energy changes of the 3D snake with and without normalization term w.r.t its radius.

    Energy changes of the 3D snake with and without normalization term w.r.t its radius. by Mahsa Lotfollahi (6812255)

    Published 2019
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  7. 147
    Implementation algorithm.

    Implementation algorithm. by Michael A. Colman (7163735)

    Published 2019
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  8. 148
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  9. 149
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  10. 150
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  11. 151
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  12. 152
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  13. 153
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  14. 154
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  15. 155
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  16. 156
    Parselmouth for bioacoustics: automated acoustic analysis in Python

    Parselmouth for bioacoustics: automated acoustic analysis in Python by Yannick Jadoul (11498813)

    Published 2023
    “…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”
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  17. 157
    Table_2_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx

    Table_2_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx by Ling Wang (56577)

    Published 2021
    “…In this study, we have carried out multiple genome-wide bioinformatic analyses for a comprehensive understanding of LIMD1 in NSCLC, using various online algorithm platforms that have been built for mega databases derived from both clinical and cell line samples. …”
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  18. 158
    Table_1_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx

    Table_1_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx by Ling Wang (56577)

    Published 2021
    “…In this study, we have carried out multiple genome-wide bioinformatic analyses for a comprehensive understanding of LIMD1 in NSCLC, using various online algorithm platforms that have been built for mega databases derived from both clinical and cell line samples. …”
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  19. 159
    Table_4_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx

    Table_4_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx by Ling Wang (56577)

    Published 2021
    “…In this study, we have carried out multiple genome-wide bioinformatic analyses for a comprehensive understanding of LIMD1 in NSCLC, using various online algorithm platforms that have been built for mega databases derived from both clinical and cell line samples. …”
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  20. 160
    Table_3_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx

    Table_3_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx by Ling Wang (56577)

    Published 2021
    “…In this study, we have carried out multiple genome-wide bioinformatic analyses for a comprehensive understanding of LIMD1 in NSCLC, using various online algorithm platforms that have been built for mega databases derived from both clinical and cell line samples. …”
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