Discovering Patterns and Subfamilies in Biosequences

Application of neural networks to biological data mining: a case study in protein sequence classification

Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining

Mining biomolecular data using background knowledge and artificial neural networks

Handbook of massive data sets

Approximate pattern matching and transitive closure logics

Theoretical Computer Science

Approximate Pattern Matching is Expressible in Transitive Closure Logic

LICS '00 Proceedings of the 15th Annual IEEE Symposium on Logic in Computer Science

New techniques for extracting features from protein sequences

IBM Systems Journal - Deep computing for the life sciences

Kernel design for RNA classification using Support Vector Machines

International Journal of Data Mining and Bioinformatics

A new protein motif extraction framework based on constrained co-clustering

Proceedings of the 2009 ACM symposium on Applied Computing

Pertinent background knowledge for learning protein grammars

ECML'06 Proceedings of the 17th European conference on Machine Learning

Functional classification of g-protein coupled receptors, based on their specific ligand coupling patterns

EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing

Analysis of the relationships among Longest Common Subsequences, Shortest Common Supersequences and patterns and its application on pattern discovery in biological sequences

International Journal of Data Mining and Bioinformatics

Covering analysis of the greedy algorithm for partial cover

Algorithms and Applications