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Showing 141 - 160 results of 671 for search '(( genes based method optimization algorithm ) OR ( binary based small optimization algorithm ))', query time: 0.63s Refine Results
  1. 141
    Optimal Timings Codebook.xlsx

    Optimal Timings Codebook.xlsx by Emma Spillane (11249121)

    Published 2021
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  2. 142
    Table_6_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_6_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …”
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  3. 143
    Table_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …”
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  4. 144
    Image_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.tif

    Image_1_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.tif by Ying Zhou (25031)

    Published 2022
    “…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …”
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  5. 145
    Table_2_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_2_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …”
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  6. 146
    Table_4_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_4_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …”
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  7. 147
    Table_5_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_5_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …”
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  8. 148
    Table_3_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx

    Table_3_Effect of Pyroptosis-Related Genes on the Prognosis of Breast Cancer.xlsx by Ying Zhou (25031)

    Published 2022
    “…Based on the obtained pyroptosis-related genes (PRGs), we searched the interactions by STRING. …”
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  9. 149
    Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF

    Image_2_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF by Qingqing Li (1505614)

    Published 2022
    “…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …”
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  10. 150
    Image_1_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF

    Image_1_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF by Qingqing Li (1505614)

    Published 2022
    “…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …”
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  11. 151
    Image_3_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF

    Image_3_A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.TIF by Qingqing Li (1505614)

    Published 2022
    “…First, we used the Fast Correlation-Based Filter (FCBF) algorithm to filter a large number of irrelevant and redundant genes in the raw dataset, and then used the wrapper feature selection method based on the he Multi-layer Perceptron (MLP) neural network and the Particle Swarm Optimization (PSO), accuracy (ACC) and mean square error (MSE) were then used as the evaluation criteria. …”
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  12. 152
    Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx

    Table1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.xlsx by Yu Yin (329063)

    Published 2023
    “…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…”
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  13. 153
    Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf

    Image1_Construction of predictive model of interstitial fibrosis and tubular atrophy after kidney transplantation with machine learning algorithms.pdf by Yu Yin (329063)

    Published 2023
    “…In this study, 13 machine learning algorithms were used to construct IFTA diagnostic models based on necroptosis-related genes.…”
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  14. 154
    table1_Pharmacogenetics–Based Preliminary Algorithm to Predict the Incidence of Infection in Patients Receiving Cytotoxic Chemotherapy for Hematological Malignancies: A Discovery Cohort.docx

    table1_Pharmacogenetics–Based Preliminary Algorithm to Predict the Incidence of Infection in Patients Receiving Cytotoxic Chemotherapy for Hematological Malignancies: A Discovery C... by Matias F. Martinez (10281068)

    Published 2021
    “…</p><p>Objective: To build a pharmacogenetic-based algorithm to predict the incidence of infections in patients undergoing cytotoxic chemotherapy.…”
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  15. 155
    <i>FS</i> index of KNN on the selected feature subset.

    <i>FS</i> index of KNN on the selected feature subset. by Fangyuan Yang (2567629)

    Published 2024
    “…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …”
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  16. 156
    <i>ACC</i> index of KNN on the selected feature subset.

    <i>ACC</i> index of KNN on the selected feature subset. by Fangyuan Yang (2567629)

    Published 2024
    “…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …”
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  17. 157
    <i>FS</i> index of SVM on the selected feature subset.

    <i>FS</i> index of SVM on the selected feature subset. by Fangyuan Yang (2567629)

    Published 2024
    “…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …”
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  18. 158
    The flowchart of the IG-GPSO.

    The flowchart of the IG-GPSO. by Fangyuan Yang (2567629)

    Published 2024
    “…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …”
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  19. 159
    <i>ACC</i> index of SVM on the selected feature subset.

    <i>ACC</i> index of SVM on the selected feature subset. by Fangyuan Yang (2567629)

    Published 2024
    “…</p><p>Methods</p><p>Based on this, this paper proposes a hybrid feature selection algorithm combining information gain and grouping particle swarm optimization (IG-GPSO). …”
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  20. 160
    Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx

    Table 1_Identification of a signature gene set for oxaliplatin sensitivity prediction in colorectal cancer.xlsx by Xiaopeng Zhan (4170574)

    Published 2025
    “…Machine learning algorithms to these datasets was applied to identify genes associated with oxaliplatin response. …”
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