Support vector machines for prediction of protein signal sequences and their cleavage sites
- 24 December 2002
- Vol. 24 (1) , 159-161
- https://doi.org/10.1016/s0196-9781(02)00289-9
Abstract
No abstract availableKeywords
This publication has 16 references indexed in Scilit:
- Prediction of Protein Signal SequencesCurrent Protein & Peptide Science, 2002
- Prediction of signal peptides using scaled windowPeptides, 2001
- Some insights into protein structural class predictionProteins-Structure Function and Bioinformatics, 2001
- Is it a paradox or misinterpretation?Proteins-Structure Function and Bioinformatics, 2001
- Prediction of protein cellular attributes using pseudo‐amino acid compositionProteins-Structure Function and Bioinformatics, 2001
- Prediction of Protein Structural Classes and Subcellular LocationsCurrent Protein & Peptide Science, 2000
- Text categorization with Support Vector Machines: Learning with many relevant featuresPublished by Springer Nature ,1998
- Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sitesProtein Engineering, Design and Selection, 1997
- Support-vector networksMachine Learning, 1995
- Prediction of Protein Structural ClassesCritical Reviews in Biochemistry and Molecular Biology, 1995