SEQUENCE MINING FOR COMPLEX PATTERN FINDING
نویسندگان
چکیده
منابع مشابه
Query Driven Sequence Pattern Mining
The discovery of frequent patterns present in biological sequences has a large number of applications, ranging from classification, clustering and understanding sequence structure and function. This paper presents an algorithm that discovers frequent sequence patterns (motifs) present in a query sequence in respect to a database of sequences. The query is used to guide the mining process and th...
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Sequence data arise naturally in many applications, and can be viewed as an ordering of events, where each event has an associated time of occurrence. An important characteristic of event sequences is the occurrence of episodes, i.e. a collection of events occurring in a certain pattern. Of special interest axe ~r~uent episodes, i.e. episodes occurring with a frequency above a certain threshold...
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Considering the characteristics of biological sequence databases, which typically have a small alphabet, a very long length and a relative small size (several hundreds of sequences), we propose a new sequence mining algorithm (gIL). gIL was developed for linear sequence pattern mining and results from the combination of some of the most efficient techniques used in sequence and itemset mining. ...
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MOTIVATION The complete sequencing of the human genome shows that only 1% of the entire genome encodes for proteins. The major part of the genome is made up of non-coding DNA, regulatory elements and junk DNA. Transcriptional regulation plays a central role in a multitude of critical cellular processes and responses, and it is a central force in the development and differentiation of multicellu...
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ژورنال
عنوان ژورنال: Innovation in Aging
سال: 2019
ISSN: 2399-5300
DOI: 10.1093/geroni/igz038.1383