DC Field | Value | Language |
---|---|---|
dc.contributor.author | Rashid, Md. Mamunur | ko |
dc.contributor.author | Karim, Md. Rezaul | ko |
dc.contributor.author | Jeong, Byeong-Soo | ko |
dc.contributor.author | Choi, Ho-Jin | ko |
dc.date.accessioned | 2013-03-12T03:37:54Z | - |
dc.date.available | 2013-03-12T03:37:54Z | - |
dc.date.created | 2012-05-31 | - |
dc.date.created | 2012-05-31 | - |
dc.date.issued | 2012-03 | - |
dc.identifier.citation | GENOMICS & INFORMATICS, v.10, no.1, pp.44 - 50 | - |
dc.identifier.issn | 1598-866X | - |
dc.identifier.uri | http://hdl.handle.net/10203/101224 | - |
dc.description.abstract | Pattern discovery in biological sequences (e.g., DNA sequences) is one of the most challenging tasks in computational biology and bioinformatics. So far, in most approaches, the number of occurrences is a major measure of determining whether a pattern is interesting or not. In computational biology, however, a pattern that is not frequent may still be considered very informative if its actual support frequency exceeds the prior expectation by a large margin. In this paper, we propose a new interesting measure that can provide meaningful biological information. We also propose an efficient index- based method for mining such interesting patterns. Experimental results show that our approach can find interesting patterns within an acceptable computation time. | - |
dc.language | English | - |
dc.publisher | 한국유전체학회 | - |
dc.title | Efficient Mining of Interesting Patterns in Large Biological Sequences | - |
dc.type | Article | - |
dc.type.rims | ART | - |
dc.citation.volume | 10 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 44 | - |
dc.citation.endingpage | 50 | - |
dc.citation.publicationname | GENOMICS & INFORMATICS | - |
dc.identifier.kciid | ART001649179 | - |
dc.contributor.localauthor | Choi, Ho-Jin | - |
dc.contributor.nonIdAuthor | Rashid, Md. Mamunur | - |
dc.contributor.nonIdAuthor | Karim, Md. Rezaul | - |
dc.contributor.nonIdAuthor | Jeong, Byeong-Soo | - |
dc.description.isOpenAccess | N | - |
dc.subject.keywordAuthor | DNA sequence | - |
dc.subject.keywordAuthor | index-based method | - |
dc.subject.keywordAuthor | information gain | - |
dc.subject.keywordAuthor | pattern mining | - |
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