Feature selection for genetic sequence classification

@article{Chuzhanova1998FeatureSF,
  title={Feature selection for genetic sequence classification},
  author={N. Chuzhanova and A. J. Jones and Steve Margetts},
  journal={Bioinformatics},
  year={1998},
  volume={14 2},
  pages={
          139-43
        }
}
  • N. Chuzhanova, A. J. Jones, Steve Margetts
  • Published 1998
  • Computer Science, Medicine
  • Bioinformatics
  • MOTIVATION Most of the existing methods for genetic sequence classification are based on a computer search for homologies in nucleotide or amino acid sequences. The standard sequence alignment programs scale very poorly as the number of sequences increases or the degree of sequence identity is <30%. Some new computationally inexpensive methods based on nucleotide or amino acid compositional analysis have been proposed, but prediction results are still unsatisfactory and depend on the features… CONTINUE READING
    101 Citations
    Protein Superfamily Classification Using Fuzzy Rule-Based Classifier
    • 48
    Effective Automated Feature Construction and Selection for Classification of Biological Sequences
    • 41
    • PDF
    DNA Sequence Identification by Statistics-Based Models
    Phylogenetic trees based on k-nucleotide frequencies
    • 1
    Fast Feature Subset Selection in Biological Sequence Analysis
    • 3
    • PDF
    Intelligent Data Recognition of DNA Sequences Using Statistical Models

    References

    SHOWING 1-10 OF 13 REFERENCES
    Gene Classification Artificial Neural System
    • 18
    • PDF
    Linguistic measure of taxonomic and functional relatedness of nucleotide sequences.
    • 52
    Codon catalog usage and the genome hypothesis.
    • 608
    Amino acid analysis and protein database compositional search as a rapid and inexpensive method to identify proteins.
    • 81
    An Algorithm for Finding Best Matches in Logarithmic Expected Time
    • 2,774
    • PDF
    Adaptation in natural and artificial systems
    • 37,263
    The ribosomal database project
    • 1,094
    • PDF
    Inductive method of program synthesis for symbolic sequence processing
    • Lecture Notes in Artificial Intelligence
    • 1989
    Inductive method of program synthesis for symbolic sequence processing
    • Lecture Notes in Artificial Intelligence
    • 1989
    Optimisation methodologies for direct inverse neurocontrol
    • 1997