Mudassir Fayyaz

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Prediction of subcellular localization of proteins is an important step in genome annotation and in search for achieving novel drug targets. Conducting experiments for extracting information about protein sub cellular localization is both time consuming and costly effort. Machine learning approaches, especially, ensemble of classifiers, providing efficient(More)
Hydrophobicity has been considered as the potential measurement for the prediction of G-Proteins coupled receptor subfamilies. In the present work, using Hydrophobicity measure, we make use of fast Fourier transform to better analyze the sequence information. In our experiments, we have observed that sequence pattern based information could easily be(More)
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