Identification of tumor evolution patterns by means of inductive logic programming

Vitoantonio Bevilacqua, Patrizia Chiarappa, Giuseppe Mastronardi, Filippo Menolascina, Angelo Paradiso, Stefania Tommasi

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

In considering key events of genomic disorders in the development and progression of cancer, the correlation between genomic instability and carcinogenesis is currently under investigation. In this work, we propose an inductive logic programming approach to the problem of modeling evolution patterns for breast cancer. Using this approach, it is possible to extract fingerprints of stages of the disease that can be used in order to develop and deliver the most adequate therapies to patients. Furthermore, such a model can help physicians and biologists in the elucidation of molecular dynamics underlying the aberrations-waterfall model behind carcinogenesis. By showing results obtained on a real-world dataset, we try to give some hints about further approach to the knowledge-driven validations of such hypotheses.

Original languageEnglish
Pages (from-to)91-7
Number of pages7
JournalGenomics, Proteomics and Bioinformatics
Issue number2
Publication statusPublished - Jun 2008

Keywords / Materials (for Non-textual outputs)

  • Adult
  • Aged
  • Algorithms
  • Breast Neoplasms
  • Comparative Genomic Hybridization
  • Computational Biology
  • DNA, Neoplasm
  • Databases, Genetic
  • Female
  • Humans
  • Logistic Models
  • Middle Aged
  • Models, Genetic
  • Oligonucleotide Array Sequence Analysis


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