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driven optimization » design optimization (Expand Search), guided optimization (Expand Search), dose optimization (Expand Search)
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Showing 1 - 20 results of 196 for search '(( binary ips driven optimization algorithm ) OR ( genes based protein optimization algorithm ))', query time: 0.63s Refine Results
  1. 1
    Table_1_Overlapping Structures Detection in Protein-Protein Interaction Networks Using Community Detection Algorithm Based on Neighbor Clustering Coefficient.docx

    Table_1_Overlapping Structures Detection in Protein-Protein Interaction Networks Using Community Detection Algorithm Based on Neighbor Clustering Coefficient.docx by Yan Wang (15435)

    Published 2021
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  2. 2
    Table_1_Overlapping Structures Detection in Protein-Protein Interaction Networks Using Community Detection Algorithm Based on Neighbor Clustering Coefficient.docx

    Table_1_Overlapping Structures Detection in Protein-Protein Interaction Networks Using Community Detection Algorithm Based on Neighbor Clustering Coefficient.docx by Yan Wang (15435)

    Published 2021
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  3. 3
    Initialization of variables in the APDCA algorithm.

    Initialization of variables in the APDCA algorithm. by Yangsong He (13909371)

    Published 2025
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  4. 4
    List of ageing-associated genes (STRING identifier and corresponding gene symbol) within imputed genes based on the JenAge Ageing Factor Database for each tissue (brain and liver) and each layer (mRNA and protein) in Ori <i>et al</i>. [13] dataset.

    List of ageing-associated genes (STRING identifier and corresponding gene symbol) within imputed genes based on the JenAge Ageing Factor Database for each tissue (brain and liver)... by Konstantina Charmpi (9901053)

    Published 2021
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  5. 5
    Raw Data for the Thesis: "<i>Enhancing RNAi-Based Pest Control through Effective Target Gene Selection and Optimal dsRNA Design</i>"

    Raw Data for the Thesis: "<i>Enhancing RNAi-Based Pest Control through Effective Target Gene Selection and Optimal dsRNA Design</i>" by Doga CEDDEN (12675286)

    Published 2025
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  6. 6
    Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades.

    Network propagation identifies ageing-associated genes as well as genes distinguishing prostate tumors of different grades. by Konstantina Charmpi (9901053)

    Published 2021
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  7. 7
    Optimal stability ranking of candidate reference genes using geNorm, NormFinder, BestKeeper, and rank aggregation method.

    Optimal stability ranking of candidate reference genes using geNorm, NormFinder, BestKeeper, and rank aggregation method. by Marina Linardić (10720448)

    Published 2021
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  8. 8
    Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx

    Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx by Bingxin Zhang (13011397)

    Published 2025
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  9. 9
    Table1_Computational prediction of allergenic proteins based on multi-feature fusion.DOCX

    Table1_Computational prediction of allergenic proteins based on multi-feature fusion.DOCX by Bin Liu (5899)

    Published 2023
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  10. 10
    Table_1_BLVector: Fast BLAST-Like Algorithm for Manycore CPU With Vectorization.XLSX

    Table_1_BLVector: Fast BLAST-Like Algorithm for Manycore CPU With Vectorization.XLSX by Sergio Gálvez (548022)

    Published 2021
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  11. 11
    Image_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF

    Image_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF... by Huangwei Wei (17011266)

    Published 2023
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  12. 12
    Table_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.XLSX

    Table_1_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.XLS... by Huangwei Wei (17011266)

    Published 2023
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  13. 13
    Image_2_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF

    Image_2_Uncovering the Achilles heel of genetic heterogeneity: machine learning-based classification and immunological properties of necroptosis clusters in Alzheimer’s disease.TIF... by Huangwei Wei (17011266)

    Published 2023
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  14. 14
    Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX

    Table_1_One-Time Optimization of Advanced T Cell Culture Media Using a Machine Learning Pipeline.DOCX by Paul Grzesik (11136582)

    Published 2021
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  15. 15
    The operating principle of APDCA.

    The operating principle of APDCA. by Yangsong He (13909371)

    Published 2025
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  16. 16
    Convergence comparison of APDCA, SIMCLDA, MLFDA, and SDLDA over 100 iterations using relative error as the evaluation metric.

    Convergence comparison of APDCA, SIMCLDA, MLFDA, and SDLDA over 100 iterations using relative error as the evaluation metric. by Yangsong He (13909371)

    Published 2025
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  17. 17
    Comparison of predictive performance under 5-fold cross-validation.

    Comparison of predictive performance under 5-fold cross-validation. by Yangsong He (13909371)

    Published 2025
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  18. 18
    Network showing the RBP–AS event associations during EMT.

    Network showing the RBP–AS event associations during EMT. by Yangsong He (13909371)

    Published 2025
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  19. 19
    AUC sensitivity of APDCA to the sparse control parameter <i>k</i> under 5-fold cross-validation.

    AUC sensitivity of APDCA to the sparse control parameter <i>k</i> under 5-fold cross-validation. by Yangsong He (13909371)

    Published 2025
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  20. 20
    AUC values under different combinations of regularization parameters <i>λ</i> and .

    AUC values under different combinations of regularization parameters <i>λ</i> and . by Yangsong He (13909371)

    Published 2025
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