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Browsing by Author "Polatkan, A.C."

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    A Data Fusion Approach in Protein Homology Detection
    (2008) Sever, H.; Polatkan, A.C.; Oǧul, H.
    The discriminative framework for protein remote homology detection based on support vector machines (SVMs) is reconstructed by the fusion of sequence based features. In this respect, n-peptide compositions are partitioned and fed into separate SVMs. The SVM outputs are evaluated with different techniques and tested to discern their ability for SCOP protein super family classification on a common benchmarking set. It reveals that the fusion approach leads to an improvement in prediction accuracy with a remarkable gain on computer memory usage. © 2008 IEEE.