An Analysis of Breast Cancer DNA Sequences Using Particle Swam Optimization

  • Abstract
  • Keywords
  • References
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  • Abstract

    Conceptual Breast tumour conclusion, examination, and visualization are essential research challenges in Bioinformatics. Bosom tumour analysis incorporates recognizing of malignancy bumps and ordinary tissue. Investigation incorporates the present phase of the malignancy tissue and anticipation incorporates expectation of repeat of the bosom tumour in future ages in light of structure and game plan of the individual DNA succession. This paper investigations bosom disease DNA succession to anticipate event of bosom tumour utilizing Particle Swarm Optimization (PSO).PSO procedure is a populace based pursuit calculation that mirrors the social conduct of swam. As the piece of investigation of bosom disease in human, the DNA arrangements of ordinary bosom tissue are contrasted and DNA groupings of bosom tumour tissue utilizing PSO... The distinction between the ordinary and breast cancer disease DNA sequences are broke down in view of the summarized values generated by applying PSO algorithm.


  • Keywords

    PSO, Soft Computing Techniques, Breast Cancer, Diagnosis, Analysis, Prognosis.

  • References

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Article ID: 20572
DOI: 10.14419/ijet.v7i4.7.20572

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