This site uses cookies to deliver our services and to ensure you get the best experience. By continuing to use this site, you consent to our use of cookies and acknowledge that you have read and understand our Privacy Policy, Cookie Policy, and Terms
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