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function optimization » reaction optimization (Expand Search), formulation optimization (Expand Search), generation optimization (Expand Search)
wolf optimization » whale optimization (Expand Search), swarm optimization (Expand Search), _ optimization (Expand Search)
based function » based functional (Expand Search), basis function (Expand Search), basis functions (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
genes based » gene based (Expand Search), lens based (Expand Search)
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Showing 121 - 140 results of 338 for search '(( genes based function optimization algorithm ) OR ( binary based wolf optimization algorithm ))', query time: 0.50s Refine Results
  1. 121
    Image_5_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.tif

    Image_5_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.tif by Yigang Tang (12031964)

    Published 2022
    “…Through Cox proportional-hazards regression model and stepwise algorithm, we constructed a six-gene STAT5-associated signature based on the most robustly survival-related genes related to the IL-2/STAT5 signaling pathway. …”
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  2. 122
    Image_2_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.tif

    Image_2_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.tif by Yigang Tang (12031964)

    Published 2022
    “…Through Cox proportional-hazards regression model and stepwise algorithm, we constructed a six-gene STAT5-associated signature based on the most robustly survival-related genes related to the IL-2/STAT5 signaling pathway. …”
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  3. 123
    Image_1_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.tif

    Image_1_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.tif by Yigang Tang (12031964)

    Published 2022
    “…Through Cox proportional-hazards regression model and stepwise algorithm, we constructed a six-gene STAT5-associated signature based on the most robustly survival-related genes related to the IL-2/STAT5 signaling pathway. …”
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  4. 124
    Table_1_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.xlsx

    Table_1_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.xlsx by Yigang Tang (12031964)

    Published 2022
    “…Through Cox proportional-hazards regression model and stepwise algorithm, we constructed a six-gene STAT5-associated signature based on the most robustly survival-related genes related to the IL-2/STAT5 signaling pathway. …”
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  5. 125
    Table_4_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.xlsx

    Table_4_A Prognostic Model for Acute Myeloid Leukemia Based on IL-2/STAT5 Pathway-Related Genes.xlsx by Yigang Tang (12031964)

    Published 2022
    “…Through Cox proportional-hazards regression model and stepwise algorithm, we constructed a six-gene STAT5-associated signature based on the most robustly survival-related genes related to the IL-2/STAT5 signaling pathway. …”
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  6. 126
    DataSheet_1_A novel prognostic model based on three integrin subunit genes-related signature for bladder cancer.docx

    DataSheet_1_A novel prognostic model based on three integrin subunit genes-related signature for bladder cancer.docx by Hongtao Tu (11898503)

    Published 2022
    “…This study endeavored to thoroughly analyze the utility of ITGs in BLCA through computer algorithm-based bioinformatics.</p>Methods<p>BLCA-related materials were sourced from reputable databases, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). …”
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  7. 127
    Image1_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.tif

    Image1_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.tif by Zhenglu Shang (11739470)

    Published 2021
    “…Then 110 differentially expressed genes (DEGs) were obtained. Afterward, the PPI network based on DEGs was constructed, followed by the analysis of functional modules, whose results showed that the genes in the major function modules significantly enriched in immune-related functions. …”
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  8. 128
    Table_1_Prognostic Signature of Immune Genes and Immune-Related LncRNAs in Neuroblastoma: A Study Based on GEO and TARGET Datasets.docx

    Table_1_Prognostic Signature of Immune Genes and Immune-Related LncRNAs in Neuroblastoma: A Study Based on GEO and TARGET Datasets.docx by Xiaodan Zhong (6021560)

    Published 2021
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  9. 129
    DataSheet3_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX

    DataSheet3_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX by Zhenglu Shang (11739470)

    Published 2021
    “…Then 110 differentially expressed genes (DEGs) were obtained. Afterward, the PPI network based on DEGs was constructed, followed by the analysis of functional modules, whose results showed that the genes in the major function modules significantly enriched in immune-related functions. …”
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  10. 130
    DataSheet2_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX

    DataSheet2_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX by Zhenglu Shang (11739470)

    Published 2021
    “…Then 110 differentially expressed genes (DEGs) were obtained. Afterward, the PPI network based on DEGs was constructed, followed by the analysis of functional modules, whose results showed that the genes in the major function modules significantly enriched in immune-related functions. …”
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  11. 131
    DataSheet1_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX

    DataSheet1_Construction of a Support Vector Machine–Based Classifier for Pulmonary Arterial Hypertension Patients.XLSX by Zhenglu Shang (11739470)

    Published 2021
    “…Then 110 differentially expressed genes (DEGs) were obtained. Afterward, the PPI network based on DEGs was constructed, followed by the analysis of functional modules, whose results showed that the genes in the major function modules significantly enriched in immune-related functions. …”
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  12. 132
    Image1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.pdf

    Image1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.pdf by Guoliang Cheng (12458973)

    Published 2024
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  13. 133
    Table1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.xls

    Table1_mtPCDI: a machine learning-based prognostic model for prostate cancer recurrence.xls by Guoliang Cheng (12458973)

    Published 2024
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  14. 134
    Bioinformatics pipeline for circadian function.

    Bioinformatics pipeline for circadian function. by Patrick B. Schwartz (14782608)

    Published 2023
    “…Clock disruption (such as with clock gene knockout) causes suppressed rAMP, and thus rAMP can be considered a strong determinant of clock function (<u>lower left</u>). …”
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  15. 135
    BOFdat Step 3: Identifying species-specific metabolic end goals.

    BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

    Published 2019
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  16. 136
    DataSheet1_Determination of a prediction model for therapeutic response and prognosis based on chemokine signaling-related genes in stage I–III lung squamous cell carcinoma.docx

    DataSheet1_Determination of a prediction model for therapeutic response and prognosis based on chemokine signaling-related genes in stage I–III lung squamous cell carcinoma.docx by Jinzhi Lai (6856568)

    Published 2022
    “…The TCIA database and pRRophetic algorithm were utilized to predict responses to immunochemotherapy and targeted therapy.…”
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  17. 137
    DataSheet_1_Transcriptome-Based Dissection of Intracranial Aneurysms Unveils an “Immuno-Thermal” Microenvironment and Defines a Pathological Feature-Derived Gene Signature for Risk Estimation.docx

    DataSheet_1_Transcriptome-Based Dissection of Intracranial Aneurysms Unveils an “Immuno-Thermal” Microenvironment and Defines a Pathological Feature-Derived Gene Signature for Risk... by Taoyuan Lu (10215872)

    Published 2022
    “…Two gene modules recognized via WCGNA were functionally associated with contractile smooth muscle loss and extracellular matrix metabolism, respectively. …”
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  18. 138
    DataSheet_2_Transcriptome-Based Dissection of Intracranial Aneurysms Unveils an “Immuno-Thermal” Microenvironment and Defines a Pathological Feature-Derived Gene Signature for Risk Estimation.xlsx

    DataSheet_2_Transcriptome-Based Dissection of Intracranial Aneurysms Unveils an “Immuno-Thermal” Microenvironment and Defines a Pathological Feature-Derived Gene Signature for Risk... by Taoyuan Lu (10215872)

    Published 2022
    “…Two gene modules recognized via WCGNA were functionally associated with contractile smooth muscle loss and extracellular matrix metabolism, respectively. …”
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  19. 139
    Image 1_Construction of a diagnostic model and identification of effect genes for diabetic kidney disease with concurrent vascular calcification based on bioinformatics and multiple machine learning approaches.jpeg

    Image 1_Construction of a diagnostic model and identification of effect genes for diabetic kidney disease with concurrent vascular calcification based on bioinformatics and multipl... by Lili Huang (125493)

    Published 2025
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  20. 140
    Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf

    Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf by Muhammad Awais (263096)

    Published 2024
    “…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …”
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