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Pattern Recognition in Bioinformatics: 5th IAPR International Conference, PRIB 2010, Nijmegen, The Netherlands, September 22-24, 2010, Proceedings [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  364216000X
  • ISBN-10:  364216000X
  • ISBN-13:  9783642160004
  • ISBN-13:  9783642160004
  • Publisher:  Springer
  • Publisher:  Springer
  • Pages:  442
  • Pages:  442
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2010
  • Pub Date:  01-Feb-2010
  • SKU:  364216000X-11-SPRI
  • SKU:  364216000X-11-SPRI
  • Item ID: 105283258
  • List Price: $54.99
  • Seller: ShopSpell
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Classification of Biological Sequences.- Sequence-Based Prediction of Protein Secretion Success in Aspergillus niger.- Machine Learning Study of DNA Binding by Transcription Factors from the LacI Family.- Joint Loop End Modeling Improves Covariance Model Based Non-coding RNA Gene Search.- Structured Output Prediction of Anti-cancer Drug Activity.- SLiMSearch: A Webserver for Finding Novel Occurrences of Short Linear Motifs in Proteins, Incorporating Sequence Context.- Towards 3D Modeling of Interacting TM Helix Pairs Based on Classification of Helix Pair Sequence.- Optimization Algorithms for Identification and Genotyping of Copy Number Polymorphisms in Human Populations.- Preservation of Statistically Significant Patterns in Multiresolution 0-1 Data.- Novel Machine Learning Methods for MHC Class I Binding Prediction.- Unsupervised Learning Methods for Biological Sequences.- SIMCOMP: A Hybrid Soft Clustering of Metagenome Reads.- The Complexity and Application of Syntactic Pattern Recognition Using Finite Inductive Strings.- An Algorithm to Find All Identical Motifs in Multiple Biological Sequences.- Discovery of Non-induced Patterns from Sequences.- Exploring Homology Using the Concept of Three-State Entropy Vector.- A Maximum-Likelihood Formulation and EM Algorithm for the Protein Multiple Alignment Problem.- Polynomial Supertree Methods Revisited.- Enhancing Graph Database Indexing by Suffix Tree Structure.- Learning Methods for Gene Expression and Mass Spectrometry Data.- Semi-Supervised Graph Embedding Scheme with Active Learning (SSGEAL): Classifying High Dimensional Biomedical Data.- Iterated Local Search for Biclustering of Microarray Data.- Biologically-aware Latent Dirichlet Allocation (BaLDA) for the Classification of Expression Microarray.- Measuring the Quality of Shifting and Scaling Patterns in Biclusters.- Frequent Episode Mining to Support Pattern Analysis in Developmental Biology.- Time Series Gene Expression Data Classification via L 1-norm Temporl#
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