Background#R##N#The identification of protein coding elements in sets of mammalian conserved elements is one of the major challenges in the current molecular biology research. Many features have been proposed for automatically distinguishing coding and non coding conserved sequences, making so necessary a systematic statistical assessment of their differences. A comprehensive study should be composed of an association study, i.e. a comparison of the distributions of the features in the two classes, and a prediction study in which the prediction accuracies of classifiers trained on single and groups of features are analyzed, conditionally to the compared species and to the sequence lengths.
['Teresa Maria Creanza', 'David S. Horner', "Annarita D'Addabbo", 'Rosalia Maglietta', 'Flavio Mignone', 'Nicola Ancona', 'Graziano Pesole']
Statistical assessment of discriminative features for protein-coding and non coding cross-species conserved sequence elements