Adaptive encoding neural networks for the recognition of human signal peptide cleavage sites

Lien vers Pubmed [PMID] – 10869017

Bioinformatics 2000 Mar;16(3):245-50

Data representation and encoding are essential for classification of protein sequences with artificial neural networks (ANN). Biophysical properties are appropriate for low dimensional encoding of protein sequence data. However, in general there is no a priori knowledge of the relevant properties for extraction of representative features.