Identification of tumor evolution patterns by means of inductive logic programming |
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Authors: | Bevilacqua Vitoantonio Chiarappa Patrizia Mastronardi Giuseppe Menolascina Filippo Paradiso Angelo Tommasi Stefania |
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Institution: | [1]Polytechnic of Bari, 70125 Bari, Italy [2]National Cancer Institute, 70126 Bari, Italy |
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Abstract: | 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. |
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Keywords: | array comparative genomic hybridization breast cancer cancer evolution model gene selection inductive logic programming |
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