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identification algorithm » classification algorithm (Expand Search), detection algorithm (Expand Search)
process identification » process intensification (Expand Search), protein identification (Expand Search), protein identifications (Expand Search)
codon optimization » wolf optimization (Expand Search)
based process » based processes (Expand Search), based probes (Expand Search), based proteins (Expand Search)
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Showing 1 - 20 results of 436 for search '(( genes based process identification algorithm ) OR ( binary a codon optimization algorithm ))*', query time: 0.51s Refine Results
  1. 1
    Performance comparison of clustering algorithms.

    Performance comparison of clustering algorithms. by Zerrin Isik (5736857)

    Published 2022
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  2. 2
    Graphical representation of KerTAD algorithm.

    Graphical representation of KerTAD algorithm. by Luka Maisuradze (8791229)

    Published 2024
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  3. 3
    Identification and functional analysis of hub genes.

    Identification and functional analysis of hub genes. by Wei Ya Lan (22403712)

    Published 2025
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  4. 4
    Image1_Identification of Immunological Characteristics and Immune Subtypes Based on Single-Sample Gene Set Enrichment Analysis Algorithm in Lower-Grade Glioma.TIFF

    Image1_Identification of Immunological Characteristics and Immune Subtypes Based on Single-Sample Gene Set Enrichment Analysis Algorithm in Lower-Grade Glioma.TIFF by Yunyang Zhu (10739174)

    Published 2022
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  5. 5
    Image2_Identification of Immunological Characteristics and Immune Subtypes Based on Single-Sample Gene Set Enrichment Analysis Algorithm in Lower-Grade Glioma.TIFF

    Image2_Identification of Immunological Characteristics and Immune Subtypes Based on Single-Sample Gene Set Enrichment Analysis Algorithm in Lower-Grade Glioma.TIFF by Yunyang Zhu (10739174)

    Published 2022
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  6. 6
    Image3_Identification of Immunological Characteristics and Immune Subtypes Based on Single-Sample Gene Set Enrichment Analysis Algorithm in Lower-Grade Glioma.TIFF

    Image3_Identification of Immunological Characteristics and Immune Subtypes Based on Single-Sample Gene Set Enrichment Analysis Algorithm in Lower-Grade Glioma.TIFF by Yunyang Zhu (10739174)

    Published 2022
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  7. 7
    Identification of significant modules and genes of GSE167028 by WGCNA.

    Identification of significant modules and genes of GSE167028 by WGCNA. by Fengjun Zhang (5878169)

    Published 2022
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  8. 8
    Summary of significant submodules detected by the best performing FN and Spectral clustering algorithms.

    Summary of significant submodules detected by the best performing FN and Spectral clustering algorithms. by Zerrin Isik (5736857)

    Published 2022
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  9. 9
    PPI Network and Module Identification of Sepsis-Related Genes.

    PPI Network and Module Identification of Sepsis-Related Genes. by Yiping Lang (21560364)

    Published 2025
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  10. 10
    Three main modules involved in the identification of ceRNA-miRNA triplets.

    Three main modules involved in the identification of ceRNA-miRNA triplets. by Yi-Wen Hsiao (13767916)

    Published 2022
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  11. 11
    Identification of differentially expressed genes in the GSE150392 dataset by differential analysis.

    Identification of differentially expressed genes in the GSE150392 dataset by differential analysis. by Fengjun Zhang (5878169)

    Published 2022
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  12. 12
    Challenges of TAD identification in Hi-C maps.

    Challenges of TAD identification in Hi-C maps. by Luka Maisuradze (8791229)

    Published 2024
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  13. 13
    Identification of driver gene-related subtypes.

    Identification of driver gene-related subtypes. by Meng Wang (124646)

    Published 2024
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  14. 14
    Table_5_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX

    Table_5_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX by Xintong Zhang (1536829)

    Published 2023
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  15. 15
    Table_3_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX

    Table_3_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX by Xintong Zhang (1536829)

    Published 2023
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  16. 16
    Table_2_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX

    Table_2_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX by Xintong Zhang (1536829)

    Published 2023
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  17. 17
    Table_1_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX

    Table_1_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX by Xintong Zhang (1536829)

    Published 2023
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  18. 18
    Table_6_Machine learning algorithms assisted identification of post-stroke depression associated biological features.docx

    Table_6_Machine learning algorithms assisted identification of post-stroke depression associated biological features.docx by Xintong Zhang (1536829)

    Published 2023
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  19. 19
    Table_4_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX

    Table_4_Machine learning algorithms assisted identification of post-stroke depression associated biological features.XLSX by Xintong Zhang (1536829)

    Published 2023
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  20. 20
    Data_Sheet_1_Machine learning-based identification of the novel circRNAs circERBB2 and circCHST12 as potential biomarkers of intracerebral hemorrhage.docx

    Data_Sheet_1_Machine learning-based identification of the novel circRNAs circERBB2 and circCHST12 as potential biomarkers of intracerebral hemorrhage.docx by Congxia Bai (11728634)

    Published 2022
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