作者: Christopher B. Burge
DOI: 10.1016/S0167-7306(08)60465-2
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摘要: This chapter discusses the compositional properties of pre-mRNA splicing signals explains construction and application simple probabilistic models biological signal sequences. Although all examples relate to signals, many techniques can equally well be applied other types nucleic acid such as those involved in transcription, translation, or biochemical processes. The emphasizes use statistical tests dependence between sequence positions. In some cases, observed dependencies give clues important functional constraints on a incorporation into lead significant improvements accuracy prediction/classification. caveats concerning dangers of: (1) constructing with too parameters (2) overinterpreting correlations data. It also describes splicing, approach classification, several standard discrete models.