Transactions on Computational Systems Biology II [electronic resource] /
edited by Alexander Zelikovsky.
- 1st ed. 2005.
- VIII, 156 p. online resource.
- Transactions on Computational Systems Biology ; 3680 .
- Transactions on Computational Systems Biology ; 3680 .
What Makes the Arc-Preserving Subsequence Problem Hard? -- Profiling and Searching for RNA Pseudoknot Structures in Genomes -- A Class of New Kernels Based on High-Scored Pairs of k-Peptides for SVMs and Its Application for Prediction of Protein Subcellular Localization -- A Protein Structural Alphabet and Its Substitution Matrix CLESUM -- KXtractor: An Effective Biomedical Information Extraction Technique Based on Mixture Hidden Markov Models -- Phylogenetic Networks: Properties and Relationship to Trees and Clusters -- Minimum Parent-Offspring Recombination Haplotype Inference in Pedigrees -- Calculating Genomic Distances in Parallel Using OpenMP -- Improved Tag Set Design and Multiplexing Algorithms for Universal Arrays -- Virtual Gene: Using Correlations Between Genes to Select Informative Genes on Microarray Datasets.
9783540316619
10.1007/11567752 doi
Computer science.
Bioinformatics.
Database management.
Theory of Computation.
Bioinformatics.
Database Management.
QA75.5-76.95
004.0151
What Makes the Arc-Preserving Subsequence Problem Hard? -- Profiling and Searching for RNA Pseudoknot Structures in Genomes -- A Class of New Kernels Based on High-Scored Pairs of k-Peptides for SVMs and Its Application for Prediction of Protein Subcellular Localization -- A Protein Structural Alphabet and Its Substitution Matrix CLESUM -- KXtractor: An Effective Biomedical Information Extraction Technique Based on Mixture Hidden Markov Models -- Phylogenetic Networks: Properties and Relationship to Trees and Clusters -- Minimum Parent-Offspring Recombination Haplotype Inference in Pedigrees -- Calculating Genomic Distances in Parallel Using OpenMP -- Improved Tag Set Design and Multiplexing Algorithms for Universal Arrays -- Virtual Gene: Using Correlations Between Genes to Select Informative Genes on Microarray Datasets.
9783540316619
10.1007/11567752 doi
Computer science.
Bioinformatics.
Database management.
Theory of Computation.
Bioinformatics.
Database Management.
QA75.5-76.95
004.0151