Protein fold recognition using HMM–HMM alignment and dynamic programming
- 1 March 2016
- journal article
- Published by Elsevier BV in Journal of Theoretical Biology
- Vol. 393, 67-74
- https://doi.org/10.1016/j.jtbi.2015.12.018
Abstract
No abstract availableThis publication has 99 references indexed in Scilit:
- A feature extraction technique using bi-gram probabilities of position specific scoring matrix for protein fold recognitionJournal of Theoretical Biology, 2013
- A hybrid discriminative/generative approach to protein fold recognitionNeurocomputing, 2012
- Margin-based ensemble classifier for protein fold recognitionExpert Systems with Applications, 2011
- A protein fold classifier formed by fusing different modes of pseudo amino acid composition via PSSMComputational Biology and Chemistry, 2011
- Enhanced protein fold recognition using a structural alphabetProteins: Structure, Function, and Bioinformatics, 2008
- Using Chou’s pseudo amino acid composition to predict subcellular localization of apoptosis proteins: An approach with immune genetic algorithm-based ensemble classifierPattern Recognition Letters, 2008
- Cancer classification by gradient LDA technique using microarray gene expression dataData & Knowledge Engineering, 2008
- A Gradient Linear Discriminant Analysis for Small Sample Sized ProblemNeural Processing Letters, 2007
- Amino acid sequence predicts folding rate for middle-size two-state proteinsProteins: Structure, Function, and Bioinformatics, 2006
- Prediction of protein cellular attributes using pseudo‐amino acid compositionProteins, 2001