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Figure 6 | BMC Bioinformatics

Figure 6

From: Application of nonnegative matrix factorization to improve profile-profile alignment features for fold recognition and remote homolog detection

Figure 6

Variation of performance improvement by using NMF features corresponding to the number of positive training examples. Figure shows ROC50 score improvement for fold recognition at the fold level when NMF features are used, compared to original PPA features. The x-axis indicates the number of positive training examples and y-axis represents performance improvement of mean ROC50 scores, respectively.

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BMC Bioinformatics

ISSN: 1471-2105

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