Multi-class protein Structure Prediction Using Machine Learning Techniques
نویسنده
چکیده
Protein structure prediction is the major problem in the field of bioinformatics or Computation biology. Recently many researchers used various data mining and machine learning tool for protein structure prediction. My intention is to use model based (i.e., supervised learning) approach for protein secondary structure prediction and our objective is to enhance the prediction of 1D and 2D protein structure problem using advance machine learning techniques like, Neural Network ,linear _ non-linear support vector machine with different kernel functions and also used different algorithms (GOR,SOMPA etc..) . The datasets used for this problem are Protein Data Bank (PDB) sets, which is based on structural classification of protein (SCOP), RS126 and CB513.
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