A machine discovery from amino acid sequences by decision trees over regular patterns
- 1 September 1993
- journal article
- Published by Springer Nature in New Generation Computing
- Vol. 11 (3) , 361-375
- https://doi.org/10.1007/bf03037183
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- A learning algorithm for elementary formal systems and its experiments on identification of transmembrane domainsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- Prosite: a dictionary of sites and patterns in proteinsNucleic Acids Research, 1991
- PROCANS: a protein classification system using a neural networkPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990
- Learnability and the Vapnik-Chervonenkis dimensionJournal of the ACM, 1989
- Learning decision trees from random examplesInformation and Computation, 1989
- Predicting the orientation of eukaryotic membrane-spanning proteins.Proceedings of the National Academy of Sciences, 1989
- Protein secondary structure prediction with a neural network.Proceedings of the National Academy of Sciences, 1989
- Transcending the impenetrable: How proteins come to terms with membranesBiochimica et Biophysica Acta (BBA) - Reviews on Biomembranes, 1988
- IDENTIFYING NONPOLAR TRANSBILAYER HELICES IN AMINO ACID SEQUENCES OF MEMBRANE PROTEINSAnnual Review of Biophysics, 1986
- A conformational preference parameter to predict helices in integral membrane proteinsBiochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology, 1986