Gene classification and pattern analysis using data mining and machine learning techniques
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| स्वरूप: | थीसिस |
| भाषा: | English |
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Brac University
2021
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| ऑनलाइन पहुंच: | http://hdl.handle.net/10361/15185 |
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10361-15185 |
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10361-151852022-01-26T10:13:12Z Gene classification and pattern analysis using data mining and machine learning techniques Ramisa, Aiman Jabeen Hossain, Ananna Islam, Sk Md Injamul Swadesh, Ponuel Mollah Islam, Md. Toushif Parvez, Mohammad Zavid Rahman, Md Anisur Department of Computer Science and Engineering, Brac University Classification Feature Selection Accuracy Pattern Extraction Gene Classification Application of Machine Learning Machine Learning Data mining This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (page 23-25). Gene classification and pattern extraction from gene sequence data is essential in understanding different gene sequence features. The field of gene expression data analysis has grown in the past few years from being purely data-centric to integra tive, aiming at complementing microarray analysis with data and knowledge from diverse available sources. Since then, it has been used for various science fields, including the discovery of new drugs, identification of protein coded genes by ana lyzing and separating exons from the main sequence, phenotype prediction based on gene expression. The paper presents an application of gene classification from gene sequence data using data mining and machine learning techniques. Our research’s main goal is to compare different machine learning approaches based on time of execution, and overall efficiency by testing them on different microarray data sets of gene sequence and determining the best approach for gene classification. Eight different machine learning techniques have been tested on eleven different gene ex pression datasets, and the results are compared and improved using the feature selection method. Moreover, we perform pattern analysis on some gene expression datasets using a J48 decision tree outcome, after applying feature selection. Aiman Jabeen Ramisa Ananna Hossain Sk Md Injamul Islam Ponuel Mollah Swadesh Md. Toushif Islam B. Computer Science 2021-10-10T05:05:16Z 2021-10-10T05:05:16Z 2021 2021-06 Thesis ID 17101012 ID 17101026 ID 17101169 ID 17101299 ID 17101032 http://hdl.handle.net/10361/15185 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 25 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Classification Feature Selection Accuracy Pattern Extraction Gene Classification Application of Machine Learning Machine Learning Data mining |
| spellingShingle |
Classification Feature Selection Accuracy Pattern Extraction Gene Classification Application of Machine Learning Machine Learning Data mining Ramisa, Aiman Jabeen Hossain, Ananna Islam, Sk Md Injamul Swadesh, Ponuel Mollah Islam, Md. Toushif Gene classification and pattern analysis using data mining and machine learning techniques |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Parvez, Mohammad Zavid |
| author_facet |
Parvez, Mohammad Zavid Ramisa, Aiman Jabeen Hossain, Ananna Islam, Sk Md Injamul Swadesh, Ponuel Mollah Islam, Md. Toushif |
| format |
Thesis |
| author |
Ramisa, Aiman Jabeen Hossain, Ananna Islam, Sk Md Injamul Swadesh, Ponuel Mollah Islam, Md. Toushif |
| author_sort |
Ramisa, Aiman Jabeen |
| title |
Gene classification and pattern analysis using data mining and machine learning techniques |
| title_short |
Gene classification and pattern analysis using data mining and machine learning techniques |
| title_full |
Gene classification and pattern analysis using data mining and machine learning techniques |
| title_fullStr |
Gene classification and pattern analysis using data mining and machine learning techniques |
| title_full_unstemmed |
Gene classification and pattern analysis using data mining and machine learning techniques |
| title_sort |
gene classification and pattern analysis using data mining and machine learning techniques |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15185 |
| work_keys_str_mv |
AT ramisaaimanjabeen geneclassificationandpatternanalysisusingdataminingandmachinelearningtechniques AT hossainananna geneclassificationandpatternanalysisusingdataminingandmachinelearningtechniques AT islamskmdinjamul geneclassificationandpatternanalysisusingdataminingandmachinelearningtechniques AT swadeshponuelmollah geneclassificationandpatternanalysisusingdataminingandmachinelearningtechniques AT islammdtoushif geneclassificationandpatternanalysisusingdataminingandmachinelearningtechniques |
| _version_ |
1814307928200445952 |