DNA sequence classification is an important challenge in genomic studies due to non-linear
and chaotic behavior of DNA oxidation signals of Adenine, Cytosine, Guanine, and Thymine …

Classifying nucleic acid trace files is an important issue in molecular biology researches. For
the purpose of obtaining better classification performance, the question of which features are …

Background Disorders in deoxyribonucleic acid (DNA) mutations are the common cause of
colon cancer. Detection of these mutations is the first step in colon cancer diagnosis …

Biologically inspired computational solutions for protein coding regions identification are
termed as optimized solutions that could enhance regions of interest in noisy DNA signals …

Missense mutations are the primary cause of cancer. Identification of mutation in gene
sequences is the preliminary step in diagnosis of cancer. In order to identify mutation we …

the analyzing hidden features of DNA sequence is main challenge in bioinformatics. Since
learning from DNA sequences based on analytical approaches to identify the hidden …

Gene sequence classification can be seen as a challenging task due to the nonstationary,
noisy and nonlinear characteristics of sequential data. The primary goal of this research is to …

In this paper, we present a new method to cluster DNA sequence. The proposed method is
based on using the Power Spectrum and the Wavelet Neural Network (WNN). The satisfying …

The ability to decipher the genetic code of different species would lead to significant future
scientific achievements in important areas, including medicine and agriculture. The …

DNA, Deoxyribonucleic acid, a long repeating chain of nucleic acids, contains the genetic
information of living organisms [1]. DNA, the blueprint of life, is a crucial component of …