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Showing 141 - 160 results of 9,413 for search '(((( algorithm python function ) OR ( algorithm both function ))) OR ( algorithms cell function ))', query time: 0.46s Refine Results
  1. 141
    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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  2. 142
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
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  3. 143
    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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  4. 144
    Demonstration of the limitations of existing spatial analysis methods, namely nearest neighbor distance (NND), G-cross function and Morisita-Horn index.

    Demonstration of the limitations of existing spatial analysis methods, namely nearest neighbor distance (NND), G-cross function and Morisita-Horn index. by Mai Chan Lau (3135303)

    Published 2025
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  5. 145
    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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  6. 146
    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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  7. 147
    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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  8. 148
    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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  9. 149
    Table_5_Algorithm-Based Meta-Analysis Reveals the Mechanistic Interaction of the Tumor Suppressor LIMD1 With Non-Small-Cell Lung Carcinoma.xlsx

    Table_5_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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  10. 150
    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic

    Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

    Published 2019
    “…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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  11. 151
    CEC 2019 benchmark test function.

    CEC 2019 benchmark test function. by Manish Kumar Singla (18272257)

    Published 2024
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  12. 152
    Antihypertensive treatment algorithm.

    Antihypertensive treatment algorithm. by Kira Bang Bove (9607123)

    Published 2020
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  13. 153
    Cell model.

    Cell model. by Qi Song (121209)

    Published 2021
    Subjects:
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  14. 154
    Image_2_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif

    Image_2_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif by Changqiang Wei (11454415)

    Published 2023
    “…This profile underwent differential expression analysis, WGCNA, functional enrichment, and subsequent analysis of RPL gene expression using LASSO regression, SVM-RFE, and RandomForest algorithms for hub gene screening. …”
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  15. 155
    Image_1_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif

    Image_1_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif by Changqiang Wei (11454415)

    Published 2023
    “…This profile underwent differential expression analysis, WGCNA, functional enrichment, and subsequent analysis of RPL gene expression using LASSO regression, SVM-RFE, and RandomForest algorithms for hub gene screening. …”
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  16. 156
    Image_3_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif

    Image_3_Identification and verification of diagnostic biomarkers in recurrent pregnancy loss via machine learning algorithm and WGCNA.tif by Changqiang Wei (11454415)

    Published 2023
    “…This profile underwent differential expression analysis, WGCNA, functional enrichment, and subsequent analysis of RPL gene expression using LASSO regression, SVM-RFE, and RandomForest algorithms for hub gene screening. …”
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  17. 157
    Mitotic regeneration of IPhCs.

    Mitotic regeneration of IPhCs. by Tomokatsu Udagawa (11675636)

    Published 2021
    Subjects:
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  18. 158
    Algorithm and classification of groups.

    Algorithm and classification of groups. by Ming-Chun Yang (6729968)

    Published 2019
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  19. 159
    Spatiotemporal expression of Lgr5-EGFP during cochlear degeneration in Lgr5-DTR mice.

    Spatiotemporal expression of Lgr5-EGFP during cochlear degeneration in Lgr5-DTR mice. by Tomokatsu Udagawa (11675636)

    Published 2021
    Subjects:
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  20. 160
    Molecular and physiological properties of regenerated juvenile and mature cochlea.

    Molecular and physiological properties of regenerated juvenile and mature cochlea. by Tomokatsu Udagawa (11675636)

    Published 2021
    Subjects:
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