SOMIX: Motifs Discovery in Gene Regulatory Sequences Using Self-Organizing Maps
We present a clustering algorithm called Self-organizing Map Neural Network with mixed signals discrimination (SOMIX), to discover binding sites in a set of regulatory regions. Our framework integrates a novel intra-node soft competitive procedure in each node model to achieve maximum discrimination...
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| Main Authors: | , |
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| Format: | Book Chapter |
| Language: | en |
| Published: |
Springer Berlin Heidelberg
2010
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/11933/1/SOMIX_abstract.pdf http://ir.unimas.my/id/eprint/11933/ http://download.springer.com/static/pdf/117/chp%253A10.1007%252F978-3-642-17534-3_30.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%2F978-3-642-17534-3_30&token2=exp=1462506828~acl=%2Fstatic%2Fpdf%2F117%2Fchp%25253A10.1007%25252F978-3-64 |
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http://ir.unimas.my/id/eprint/11933/1/SOMIX_abstract.pdfhttp://ir.unimas.my/id/eprint/11933/
http://download.springer.com/static/pdf/117/chp%253A10.1007%252F978-3-642-17534-3_30.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%2F978-3-642-17534-3_30&token2=exp=1462506828~acl=%2Fstatic%2Fpdf%2F117%2Fchp%25253A10.1007%25252F978-3-64
