FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA
In tasks of modern biology, the numbers of attributes often exceed the numbers of objects by orders of magnitude. For the solution of such tasks, a Data Mining method based on using a new measure of similarity between objects in the form of the Function of Rival Similarity (FRiS) is offered. On this...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders
2015-01-01
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| Series: | Вавиловский журнал генетики и селекции |
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| Online Access: | https://vavilov.elpub.ru/jour/article/view/319 |
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| author | N. G. Zagoruiko O. A. Kutnenko I. A. Borisova V. V. Dyubanov D. A. Levanov O. A. Zyranov |
| author_facet | N. G. Zagoruiko O. A. Kutnenko I. A. Borisova V. V. Dyubanov D. A. Levanov O. A. Zyranov |
| author_sort | N. G. Zagoruiko |
| collection | DOAJ |
| description | In tasks of modern biology, the numbers of attributes often exceed the numbers of objects by orders of magnitude. For the solution of such tasks, a Data Mining method based on using a new measure of similarity between objects in the form of the Function of Rival Similarity (FRiS) is offered. On this basis, methods of quantitative estimation of compactness of patterns, construction of decision rules, and feature selection are developed. All these techniques are implemented in the FRiS-GRAD algorithm. The high efficiency of the algorithm is illustrated by results of solving the task of disease recognition on a microarray dataset. |
| format | Article |
| id | doaj-art-3786a1ad3892491a8c2c3742421784df |
| institution | Kabale University |
| issn | 2500-3259 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders |
| record_format | Article |
| series | Вавиловский журнал генетики и селекции |
| spelling | doaj-art-3786a1ad3892491a8c2c3742421784df2025-02-01T09:58:01ZengSiberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and BreedersВавиловский журнал генетики и селекции2500-32592015-01-01184/2898903302FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATAN. G. Zagoruiko0O. A. Kutnenko1I. A. Borisova2V. V. Dyubanov3D. A. Levanov4O. A. Zyranov5Sobolev Institute of Mathematics SB RAS, Novosibirsk, RussiaSobolev Institute of Mathematics SB RAS, Novosibirsk, RussiaSobolev Institute of Mathematics SB RAS, Novosibirsk, RussiaSobolev Institute of Mathematics SB RAS, Novosibirsk, RussiaSobolev Institute of Mathematics SB RAS, Novosibirsk, RussiaSobolev Institute of Mathematics SB RAS, Novosibirsk, RussiaIn tasks of modern biology, the numbers of attributes often exceed the numbers of objects by orders of magnitude. For the solution of such tasks, a Data Mining method based on using a new measure of similarity between objects in the form of the Function of Rival Similarity (FRiS) is offered. On this basis, methods of quantitative estimation of compactness of patterns, construction of decision rules, and feature selection are developed. All these techniques are implemented in the FRiS-GRAD algorithm. The high efficiency of the algorithm is illustrated by results of solving the task of disease recognition on a microarray dataset.https://vavilov.elpub.ru/jour/article/view/319gene expressionfunction of rival similarityfeature selectionpattern recognition |
| spellingShingle | N. G. Zagoruiko O. A. Kutnenko I. A. Borisova V. V. Dyubanov D. A. Levanov O. A. Zyranov FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA Вавиловский журнал генетики и селекции gene expression function of rival similarity feature selection pattern recognition |
| title | FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA |
| title_full | FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA |
| title_fullStr | FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA |
| title_full_unstemmed | FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA |
| title_short | FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA |
| title_sort | feature selection in the task of medical diagnostics on microarray data |
| topic | gene expression function of rival similarity feature selection pattern recognition |
| url | https://vavilov.elpub.ru/jour/article/view/319 |
| work_keys_str_mv | AT ngzagoruiko featureselectioninthetaskofmedicaldiagnosticsonmicroarraydata AT oakutnenko featureselectioninthetaskofmedicaldiagnosticsonmicroarraydata AT iaborisova featureselectioninthetaskofmedicaldiagnosticsonmicroarraydata AT vvdyubanov featureselectioninthetaskofmedicaldiagnosticsonmicroarraydata AT dalevanov featureselectioninthetaskofmedicaldiagnosticsonmicroarraydata AT oazyranov featureselectioninthetaskofmedicaldiagnosticsonmicroarraydata |