Background: In this paper we present a method for the statistical assessment of cancer predictors which make use of gene expression profiles. The methodology is applied to a new data set of microarray gene expression data collected in Casa Sollievo della Sofferenza Hospital, Foggia
Nicola Ancona, Rosalia Maglietta, Ada Piepoli, Ann
Nicola Ancona, Rosalia Maglietta, Ada Piepoli, Annarita D'Addabbo, R. Cotugno, M. Savino, Sabino Liuni, Massimo Carella, Graziano Pesole, Francesco Perri