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

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