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Showing 141 - 160 results of 9,413 for search '(( algorithm python function ) OR ((( algorithm both function ) OR ( algorithm cell functions ))))', query time: 0.74s Refine Results
  1. 141
    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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  2. 142
    CEC 2019 benchmark test function.

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

    Published 2024
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  3. 143
    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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  4. 144
    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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  5. 145
    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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  6. 146
    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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  7. 147
    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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  8. 148
    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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  9. 149
    Network utility for different desirability functions.

    Network utility for different desirability functions. by Maryam Chinipardaz (18098413)

    Published 2024
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  10. 150
    Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways.

    Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

    Published 2021
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  11. 151
    Results of composite benchmark functions.

    Results of composite benchmark functions. by Qi Song (121209)

    Published 2021
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  12. 152
    Results of unimodal benchmark functions.

    Results of unimodal benchmark functions. by Qi Song (121209)

    Published 2021
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  13. 153
    Multi-modal benchmark functions.

    Multi-modal benchmark functions. by Qi Song (121209)

    Published 2021
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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
    Algorithm for generation of fractals as Julia sets.

    Algorithm for generation of fractals as Julia sets. by Khairul Habib Alam (20521419)

    Published 2025
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  18. 158
    Algorithm for generation of fractals as Mandelbrot sets.

    Algorithm for generation of fractals as Mandelbrot sets. by Khairul Habib Alam (20521419)

    Published 2025
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  19. 159
    Skeletonisation algorithm.

    Skeletonisation algorithm. by Jordan Hembrow (16908051)

    Published 2023
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  20. 160
    The image of the Aekley function.

    The image of the Aekley function. by Zhengyu Xu (8550660)

    Published 2025
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