MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURES
Deoxyribo Nucleic Acid (DNA) microarrays are widely used to monitor the expression levels of genes in parallel. It is possible to predict human cancer using the expression levels from a collection of DNA samples. Due to the vast number of genes expression level, it is challenging to analyze them man...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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XLESCIENCE
2017-06-01
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| Series: | International Journal of Advances in Signal and Image Sciences |
| Subjects: | |
| Online Access: | https://xlescience.org/index.php/IJASIS/article/view/21 |
| _version_ | 1818844119939678208 |
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| author | Jayesh Manohar Sonawane Shrihari D.Gaikwad Gyan Prakash |
| author_facet | Jayesh Manohar Sonawane Shrihari D.Gaikwad Gyan Prakash |
| author_sort | Jayesh Manohar Sonawane |
| collection | DOAJ |
| description | Deoxyribo Nucleic Acid (DNA) microarrays are widely used to monitor the expression levels of genes in parallel. It is possible to predict human cancer using the expression levels from a collection of DNA samples. Due to the vast number of genes expression level, it is challenging to analyze them manually. In this paper, data mining approach is used to extract the prevailing information from DNA microarray with the help of multiresolution analysis tool. Dual Tree M-Band Wavelet Transform (DTMBWT) is employed for the extraction of features from the given dataset at the 2nd level of decomposition. K-Nearest Neighbor (KNN) classifier is used for cancer classification. Results show that KNN classifier classifies five different cancer datasets; Breast, Colon, Ovarian, CNS, and Leukemia with over 90% accuracy. |
| first_indexed | 2024-12-19T05:08:42Z |
| format | Article |
| id | doaj.art-19d2e11bfedf4ad2a9faf0d975efd1ae |
| institution | Directory Open Access Journal |
| issn | 2457-0370 |
| language | English |
| last_indexed | 2024-12-19T05:08:42Z |
| publishDate | 2017-06-01 |
| publisher | XLESCIENCE |
| record_format | Article |
| series | International Journal of Advances in Signal and Image Sciences |
| spelling | doaj.art-19d2e11bfedf4ad2a9faf0d975efd1ae2022-12-21T20:34:51ZengXLESCIENCEInternational Journal of Advances in Signal and Image Sciences2457-03702017-06-0131192410.29284/ijasis.3.1.2017.19-2421MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURESJayesh Manohar SonawaneShrihari D.GaikwadGyan PrakashDeoxyribo Nucleic Acid (DNA) microarrays are widely used to monitor the expression levels of genes in parallel. It is possible to predict human cancer using the expression levels from a collection of DNA samples. Due to the vast number of genes expression level, it is challenging to analyze them manually. In this paper, data mining approach is used to extract the prevailing information from DNA microarray with the help of multiresolution analysis tool. Dual Tree M-Band Wavelet Transform (DTMBWT) is employed for the extraction of features from the given dataset at the 2nd level of decomposition. K-Nearest Neighbor (KNN) classifier is used for cancer classification. Results show that KNN classifier classifies five different cancer datasets; Breast, Colon, Ovarian, CNS, and Leukemia with over 90% accuracy.https://xlescience.org/index.php/IJASIS/article/view/21dna, microarray data, dtmbwt, knn |
| spellingShingle | Jayesh Manohar Sonawane Shrihari D.Gaikwad Gyan Prakash MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURES International Journal of Advances in Signal and Image Sciences dna, microarray data, dtmbwt, knn |
| title | MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURES |
| title_full | MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURES |
| title_fullStr | MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURES |
| title_full_unstemmed | MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURES |
| title_short | MICROARRAY DATA CLASSIFICATION USING DUAL TREE M-BAND WAVELET FEATURES |
| title_sort | microarray data classification using dual tree m band wavelet features |
| topic | dna, microarray data, dtmbwt, knn |
| url | https://xlescience.org/index.php/IJASIS/article/view/21 |
| work_keys_str_mv | AT jayeshmanoharsonawane microarraydataclassificationusingdualtreembandwaveletfeatures AT shriharidgaikwad microarraydataclassificationusingdualtreembandwaveletfeatures AT gyanprakash microarraydataclassificationusingdualtreembandwaveletfeatures |