Learning strong and weak signals in genomic sequence alignments to identify functional elements
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ESPERR: learning strong and weak signals in genomic sequence alignments to identify functional elements.
Genomic sequence signals - such as base composition, presence of particular motifs, or evolutionary constraint - have been used effectively to identify functional elements. However, approaches based only on specific signals known to correlate with function can be quite limiting. When training data are available, application of computational learning algorithms to multispecies alignments has the...
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تاریخ انتشار 2006