Identification of Potential Cancer Biomarkers from Microarray Data

The search for biomarkers is a critical task in cancer research since understanding, diagnosis and prognosis of the illness can be greatly enhanced through them. This work represents an effort to make this search more effective and efficient when analyzing data from microarray experiments. The result is a novel method based on multiple criteria optimization that does not require the adjustment of parameters by the users, thereby allowing the consistent identification of important genes with potential biomarking characteristics. The high discrimination rate and accuracy of the method is evidenced through a series of applications in this work where potential biomarkers for cervix and colon cancer are presented.

Autorentext

MAURICIO CABRERA-RIOS obtained his B.S. degree in Industrial & Systems Engineering from ITESM, México in 1996. He obtained an M.S. and Ph.D. degrees in the same field from The Ohio State University in 1999 and 2002 respectively. He is currently affiliated with the Industrial Engineering Department at University of Puerto Rico-Mayagüez