Multi-agent System for Obtaining Relevant Genes in Expression Analysis between Young and Older Women with Triple Negative Breast Cancer

Alfonso González-Briones 1 , Juan Ramos 1 , Juan F. De Paz 1 , and Juan M. Corchado 2 , 3
  • 1 Biomedical Research Institute of Salamanca/BISITE Research Group, Calle Espejo, s/n, 37007, Salamanca, Spain
  • 2 Biomedical Research Institute of Salamanca/BISITE Research Group, Calle Espejo, s/n, 37007, Salamanca, Spain
  • 3 Osaka Institute of Technology, Osaka, Japan

Summary

Triple negative breast cancer is an aggressive form of breast cancer. Despite treatment with chemotherapy, relapses are frequent and response to these treatments is not the same in younger women as in older women. Therefore, the identification of genes that cause this difference is required. The identification of therapeutic targets is one of the sought after goals to develop new drugs. Within the range of different hybridization techniques, the developed system uses expression array analysis to measure the expression of the signal levels of thousands of genes in a given sample. Probesets of Gene 1.0 ST GeneChip arrays provide categorical genome transcript coverage, providing a measurement of the expression level of the sample. This paper proposes a multi-agent system to manage information of expression arrays, with the goal of providing an intuitive system that is also extensible to analyze and interpret the results. The roles of agent integrate different types of techniques, statistical and data mining methods that select a set of genes, searching techniques that find pathways in which such genes participate, and an information extraction procedure that applies a CBR system to check if these genes are involved in the disease.

If the inline PDF is not rendering correctly, you can download the PDF file here.

OPEN ACCESS

Journal + Issues

Search