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Analyzing Protein Structure and Exploring the Sequence of Protein using Machine Learning Approach

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dc.contributor.author Peu, Sharmin Sultana
dc.contributor.author Roy, Rajashree
dc.date.accessioned 2019-03-21T09:41:33Z
dc.date.available 2019-03-21T09:41:33Z
dc.date.issued 2018-04-21
dc.identifier.uri http://dspace.ewubd.edu/handle/2525/3011
dc.description This thesis submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering of East West University, Dhaka, Bangladesh. en_US
dc.description.abstract Protein structure and sequence analysis is an important and essential problem. Now machine learning techniques have been widely used in bioinformatics. In this research we analyze the protein of structure and sequence and predict the class of protein sequence. Also find the accuracy of that class for different machine learning algorithm. For the data set we use the exploratory data analysis (EDA) and extracted 278866 protein features from the data set. We classify the features and measure the accuracy level of the three machine learning algorithm: Support Vector Machine (SVM), Naive Bayes and Random Forest (RF) approach for that protein sequence. en_US
dc.language.iso en_US en_US
dc.publisher East West University en_US
dc.relation.ispartofseries ;CSE00178
dc.subject Sequence of Protein using Machine Learning Approach en_US
dc.title Analyzing Protein Structure and Exploring the Sequence of Protein using Machine Learning Approach en_US
dc.type Thesis en_US


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