Introduction: Special issue on neural networks and kernel methods for structured domains
Neural Networks - Special issue on neural networks and kernel methods for structured domains
Functional Census of Mutation Sequence Spaces: The Example of p53 Cancer Rescue Mutants
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Practical solutions to the problem of diagonal dominance in kernel document clustering
ICML '06 Proceedings of the 23rd international conference on Machine learning
Comparing SVM sequence kernels: a protein subcellular localization theme
WISB '06 Proceedings of the 2006 workshop on Intelligent systems for bioinformatics - Volume 73
A Unified String Kernel for Biology Sequence
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Artificial Intelligence
WABI '08 Proceedings of the 8th international workshop on Algorithms in Bioinformatics
PRIB '08 Proceedings of the Third IAPR International Conference on Pattern Recognition in Bioinformatics
Theory and algorithm for learning with dissimilarity functions
Neural Computation
Interval regression analysis using support vector networks
Fuzzy Sets and Systems
A local alignment kernel in the context of NLP
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
A study of convolution tree kernel with local alignment
GEMS '09 Proceedings of the Workshop on Geometrical Models of Natural Language Semantics
Learning state machine-based string edit kernels
Pattern Recognition
A novel kernel-based approach for predicting binding peptides for HLA class II molecules
ISBRA'07 Proceedings of the 3rd international conference on Bioinformatics research and applications
Protein remote homology detection based on binary profiles
BIRD'07 Proceedings of the 1st international conference on Bioinformatics research and development
BIRD'07 Proceedings of the 1st international conference on Bioinformatics research and development
A Study of Hierarchical and Flat Classification of Proteins
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
A brief survey on sequence classification
ACM SIGKDD Explorations Newsletter
Using local alignments for relation recognition
Journal of Artificial Intelligence Research
Protein remote homology detection based on auto-cross covariance transformation
Computers in Biology and Medicine
Computers in Biology and Medicine
A novel method for classifying subfamilies and sub-subfamilies of g-protein coupled receptors
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Comparison of one-class SVM and two-class SVM for fold recognition
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Computational and statistical methods in bioinformatics
AM'03 Proceedings of the Second international conference on Active Mining
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Classification of biological sequences with kernel methods
ICGI'06 Proceedings of the 8th international conference on Grammatical Inference: algorithms and applications
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
ProRank: a method for detecting protein complexes
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Review: Supervised classification and mathematical optimization
Computers and Operations Research
A family of feed-forward models for protein sequence classification
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Full length article: Regularization networks with indefinite kernels
Journal of Approximation Theory
Remote homology detection incorporating the context of physicochemical properties
Computers in Biology and Medicine
Guaranteed classification via regularized similarity learning
Neural Computation
Approximation and Estimation Bounds for Subsets of Reproducing Kernel Kreĭn Spaces
Neural Processing Letters
Hi-index | 3.84 |
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Discriminative methods involving support vector machines (SVMs) are currently the most effective methods for the problem of superfamily recognition in the Structural Classification Of Proteins (SCOP) database. The performance of SVMs depends critically on the kernel function used to quantify the similarity between sequences. Results: We propose new kernels for strings adapted to biological sequences, which we call local alignment kernels. These kernels measure the similarity between two sequences by summing up scores obtained from local alignments with gaps of the sequences. When tested in combination with SVM on their ability to recognize SCOP superfamilies on a benchmark dataset, the new kernels outperform state-of-the-art methods for remote homology detection. Availability: Software and data available upon request.