.: Current research interests

Understanding the way in which genes interact among themselves to orchestrate the basic functions of life has become a main challenge of modern biology. The levels of expression of these genes provide a source of quantitative information for the study of such relations that has recently been made accessible to a wide scientific community through the development of microarray technologies.

Working under the supervision of Professors Laurent Younes and Donald Geman, I am interested in the development of new Machine Learning approaches to the challenge of modeling gene interaction networks from microarray data.

.: Technical reports

• Francisco Sanchez Vega. Bayesian networks applied to the modeling of gene interactions. Master thesis. ETSIT/ENST/ENS Cachan/CIS. Baltimore, 2005.
  
  
• Francisco Sanchez Vega. Integration temporelle pour des methodes de classification radar. Master thesis. ETSIT/ENST/Thales Air Defence. Paris, 2004.