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Showing 1 - 20 results of 898 for search '(( algorithm protein function ) OR ( algorithm pre function ))', query time: 0.19s Refine Results
  1. 1
    Data pre-processing and identification of DEGs.

    Data pre-processing and identification of DEGs. by Ziyang Liu (242055)

    Published 2025
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  2. 2
    Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than (NW,SoT) for 10 sets of 1000 proteins sampled from Swiss-Prot [41]. close to 1 indicates a strong positive relationship between the alignment and cos. similarity scores, while values closer to zero indicate no relationship. We report mean and standard deviation of the correlations. NW: Needleman-Wunch global sequence alignment algorithm, Hist-8000: Histogram-8000, SoT: Sum-of-learnt-Trigrams, : Spearman rank correlation, Hist-SDM12: Hist-SDM12: Histogram-Structural Derived Matrix-12.

    Hist-8000 sequence similarity scores are closer to the ground truth than the corresponding Sum-of-learnt-Trigrams scores. (NW, Hist-8000) and (NW, Hist-SDM12) are both higher than... by Frixos Papadopoulos (22001664)

    Published 2025
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  3. 3
    Pipeline of the interactor algorithm.

    Pipeline of the interactor algorithm. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  4. 4
    Average function evaluation times of the three optimization algorithms.

    Average function evaluation times of the three optimization algorithms. by Shuhui Yu (1535500)

    Published 2025
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  5. 5
    The benchmark functions.

    The benchmark functions. by Shuhui Yu (1535500)

    Published 2025
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  6. 6
    The algorithm is designed to identify patterns in the treatment dataset.

    The algorithm is designed to identify patterns in the treatment dataset. by Belén Otero-Carrasco (21262360)

    Published 2025
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  7. 7
    Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks

    Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks by Diana Murray (16859046)

    Published 2025
    “…Biological insights derived from the subnetworks, including the annotation of proteins of unknown function, are discussed in detail. …”
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  8. 8
    A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score.

    A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. by Jose Cleydson F. Silva (8685594)

    Published 2025
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  9. 9
    Isologs, function and residue information of 12 key proteins in MPV replication.

    Isologs, function and residue information of 12 key proteins in MPV replication. by Huaichuan Duan (6458477)

    Published 2024
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  10. 10
    2025-01-14 - PAG Talk - Kmerseek - Olga Botvinnik - Seanome

    2025-01-14 - PAG Talk - Kmerseek - Olga Botvinnik - Seanome by Olga Botvinnik (20571431)

    Published 2025
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  11. 11
    Immune infiltration analysis by ssGSEA algorithm.

    Immune infiltration analysis by ssGSEA algorithm. by Yubin Xue (1537042)

    Published 2025
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  12. 12
    HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial.

    HIV exposure risk algorithm. HIV exposure risk algorithm based on available data from the Tonse Padmozi trial. by Anna M. Leone (22486372)

    Published 2025
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  13. 13
    Protein-Protein Interaction (PPI) and ceRNA Regulatory Network Analysis.

    Protein-Protein Interaction (PPI) and ceRNA Regulatory Network Analysis. by Jie Chu (293795)

    Published 2025
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  14. 14
    Two protein-ligand complexes shown with their persistence fingerprint.

    Two protein-ligand complexes shown with their persistence fingerprint. by Yuxi Long (11024307)

    Published 2025
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  15. 15
    Explained variance ration of the PCA algorithm.

    Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

    Published 2025
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  16. 16
    The results of LASSO regression algorithm.

    The results of LASSO regression algorithm. by Xue Fu (549661)

    Published 2025
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  17. 17
    The GOR4 and SOPMA algorithm findings.

    The GOR4 and SOPMA algorithm findings. by Ahmad Abdullah Mahdeen (19704401)

    Published 2024
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  18. 18
    Immune infiltration analysis by CIBERSORT algorithm.

    Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

    Published 2025
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  19. 19
    Immune infiltration analysis by CIBERSORT algorithm.

    Immune infiltration analysis by CIBERSORT algorithm. by Lanying Shen (22755930)

    Published 2025
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  20. 20
    Comprehensive Re, F1 and Pre values of FcaNet-CycleGAN model.

    Comprehensive Re, F1 and Pre values of FcaNet-CycleGAN model. by Xiaojun Wang (50332)

    Published 2025
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