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Transactions on Computational Systems Biology II [electronic resource] /

Contributor(s): Material type: TextTextSeries: Transactions on Computational Systems Biology ; 3680Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005Description: VIII, 156 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540316619
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 004.0151 23
LOC classification:
  • QA75.5-76.95
Online resources:
Contents:
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.
In: Springer Nature eBook
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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.

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