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Showing 141 - 160 results of 980 for search '(((( algorithm protein function ) OR ( algorithm pre function ))) OR ( algorithm python function ))', query time: 0.37s Refine Results
  1. 141
    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
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  2. 142
    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
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  3. 143
    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
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  4. 144
    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
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  5. 145
    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
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  6. 146
    PhAMEs group into clusters of structurally related proteins.

    PhAMEs group into clusters of structurally related proteins. by Federico G. Mirkin (22615287)

    Published 2025
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  7. 147
    Unraveling the gender-specific molecular landscape of lung squamous cell carcinoma progression

    Unraveling the gender-specific molecular landscape of lung squamous cell carcinoma progression by Ayushi Dwivedi (20658343)

    Published 2025
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  8. 148
    Variations of loss functions versus epoch number.

    Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

    Published 2025
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  9. 149
    The results of gene ontology analysis of the hub genes, including (a) biological process, (b) cellular components, (c) molecular functions, and (d) pathway analysis.

    The results of gene ontology analysis of the hub genes, including (a) biological process, (b) cellular components, (c) molecular functions, and (d) pathway analysis. by Devi Soorya Narayana Sasikumar (22331743)

    Published 2025
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  10. 150
    A comparison of the original images with the filtered images with the uniform window.

    A comparison of the original images with the filtered images with the uniform window. by Abeer Aljohani (18497914)

    Published 2025
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  11. 151
    Confusion matrix values for different size of test samples and different choice of random states.

    Confusion matrix values for different size of test samples and different choice of random states. by Abeer Aljohani (18497914)

    Published 2025
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  12. 152
    Comparison of the results obtained with the proposed method with other methods in literature.

    Comparison of the results obtained with the proposed method with other methods in literature. by Abeer Aljohani (18497914)

    Published 2025
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  13. 153
    A comparison of the spectral component of normal and abnormal images combined with the uniform window.

    A comparison of the spectral component of normal and abnormal images combined with the uniform window. by Abeer Aljohani (18497914)

    Published 2025
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  14. 154
    A visual representation of the windows used in the study.

    A visual representation of the windows used in the study. by Abeer Aljohani (18497914)

    Published 2025
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  15. 155
    The spectral component of normal peoples and Covid-19 infected peoples.

    The spectral component of normal peoples and Covid-19 infected peoples. by Abeer Aljohani (18497914)

    Published 2025
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  16. 156
    A comparison of the original images with the filtered images with the binomial window.

    A comparison of the original images with the filtered images with the binomial window. by Abeer Aljohani (18497914)

    Published 2025
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  17. 157
    The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window.

    The effect of test set size and number of nodes on the values of confusion matrix using SVM combined with the uniform window. by Abeer Aljohani (18497914)

    Published 2025
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  18. 158
    Graphical illustration of a spectral approach for training support vector machine.

    Graphical illustration of a spectral approach for training support vector machine. by Abeer Aljohani (18497914)

    Published 2025
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  19. 159
    Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training.

    Accuracy of the support vector machines for different proportion of test samples and different length of nodes used for training. by Abeer Aljohani (18497914)

    Published 2025
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  20. 160
    Confusion matrix representation of classification outcomes.

    Confusion matrix representation of classification outcomes. by Abeer Aljohani (18497914)

    Published 2025
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