Sequence Pattern Recognition in Genome Analysis

摘要

The problem of pattern recognition in genome analysis is studied. How the sequence information is extracted and integrated in the approach to sequence pattern recognition is discussed in detail. We propose two methods for calculation and prediction. The first is the Information Deviation Measure with Quadratic Discriminant (IDQD) and the second is the Information Deviation Measure with U-transformation Discriminant (IDUD). The former is applicable in case of sequence information obeying Gaussian-type distribution and the latter can be used in more general statistical distributions of sequence information.