SOMEA: self-organizing map based extraction algorithm for DNA motif identification with heterogeneous model
Background: Discrimination of transcription factor binding sites (TFBS) from background sequences plays a key role in computational motif discovery. Current clustering based algorithms employ homogeneous model for problem solving, which assumes that motifs and background signals can be equivalently...
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Format: | E-Article |
Language: | English |
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BioMed Central Ltd
2011
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Online Access: | http://ir.unimas.my/id/eprint/11897/1/SOMEA_abstract.pdf http://ir.unimas.my/id/eprint/11897/ http://download.springer.com/static/pdf/502/art%253A10.1186%252F1471-2105-12-S1-S16.pdf?originUrl=http%3A%2F%2Fbmcbioinformatics.biomedcentral.com%2Farticle%2F10.1186%2F1471-2105-12-S1-S16&token2=exp=1462430179~acl=%2Fstatic%2Fpdf%2F502%2Fart%25253A10.118 |
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http://ir.unimas.my/id/eprint/11897/1/SOMEA_abstract.pdfhttp://ir.unimas.my/id/eprint/11897/
http://download.springer.com/static/pdf/502/art%253A10.1186%252F1471-2105-12-S1-S16.pdf?originUrl=http%3A%2F%2Fbmcbioinformatics.biomedcentral.com%2Farticle%2F10.1186%2F1471-2105-12-S1-S16&token2=exp=1462430179~acl=%2Fstatic%2Fpdf%2F502%2Fart%25253A10.118