Autoregressive Modeling and Feature Analysis of DNA Sequences
作者： Niranjan Chakravarthy , A. Spanias , L. D. Iasemidis , K. Tsakalis
DOI: 10.1155/S111086570430925X
关键词:
摘要: A parametric signal processing approach for DNA sequence analysis based on autoregressive (AR) modeling is presented. AR model residual errors and parameters are used as features. The error indicates a high specificity of coding sequences, while feature-based helps distinguish between noncoding sequences. An model-based string searching algorithm also proposed. effect several types numerical mapping rules in the proposed method demonstrated.
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