PRED-CLASS: cascading neural networks for generalized protein classification and genome-wide applications
Pasquier , Claude
Promponas , Vasilis
Hamodrakas , Stavros
- Publisher: Wiley
artificial neural network | MESH : Genome | MESH : Protein Structure, Tertiary | and mixed proteins | MESH : Neural Networks (Computer) | [ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM] | transmembrane | genome annotation | MESH : Computational Biology | MESH : Proteins | [ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM] | genome-wide analysis | MESH : Evaluation Studies as Topic | fibrous | Quantitative Biology - Quantitative Methods | MESH : Databases, Factual | protein classification | globular | MESH : Software
International audience; A cascading system of hierarchical, artificial neural networks (named PRED-CLASS) is presented for the generalized classification of proteins into four distinct classes-transmembrane, fibrous, globular, and mixed-from information solely encoded i...