Feature Extraction for Protein Sequences Based on NMR Spectra and Its Application in the Protein Interaction Prediction, M.Sc. Thesis Sharif University of Technology ; Hajsadeghy, Khosro (Supervisor) ; Kavousi, Kaveh (Supervisor)
Abstract
Nuclear magnetic resonance is a spectroscopic method which is used to investigate characteristics of molecules with hydrogen and carbon chains. In this thesis we used, NMR spectrum extracted from 19 types of amino acids for investigating on feature generation for protein sequences. We processed NMR spectra based on Hydrogen and Carbon atoms in structure of the amino acids and after preprocessing we extracted features for each amino acid from the spectra. After that, we tried to cluster the amino acids with Fuzzy Clustering Method (FCM) then we generated feature vectors by extracting special descriptor for amino acids in sequence of proteins. In addition to NMR, we used the features of...
Cataloging briefFeature Extraction for Protein Sequences Based on NMR Spectra and Its Application in the Protein Interaction Prediction, M.Sc. Thesis Sharif University of Technology ; Hajsadeghy, Khosro (Supervisor) ; Kavousi, Kaveh (Supervisor)
Abstract
Nuclear magnetic resonance is a spectroscopic method which is used to investigate characteristics of molecules with hydrogen and carbon chains. In this thesis we used, NMR spectrum extracted from 19 types of amino acids for investigating on feature generation for protein sequences. We processed NMR spectra based on Hydrogen and Carbon atoms in structure of the amino acids and after preprocessing we extracted features for each amino acid from the spectra. After that, we tried to cluster the amino acids with Fuzzy Clustering Method (FCM) then we generated feature vectors by extracting special descriptor for amino acids in sequence of proteins. In addition to NMR, we used the features of...
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