2014

Scalable Pattern Recognition Algorithms

Applications in Computational Biology and Bioinformatics

Authors:

ISBN: 978-3-319-05629-6 (Print) 978-3-319-05630-2 (Online)

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxii

  2. No Access

    Book Chapter

    Pages 1-42

    Introduction to Pattern Recognition and Bioinformatics

  3. Classification

    1. Front Matter

      Pages 43-43

    2. No Access

      Book Chapter

      Pages 45-66

      Neural Network Tree for Identification of Splice Junction and Protein Coding Region in DNA

    3. No Access

      Book Chapter

      Pages 67-101

      Design of String Kernel to Predict Protein Functional Sites Using Kernel-Based Classifiers

  4. Feature Selection

    1. Front Matter

      Pages 103-103

    2. No Access

      Book Chapter

      Pages 105-129

      Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules

    3. No Access

      Book Chapter

      Pages 131-153

      f-Information Measures for Selection of Discriminative Genes from Microarray Data

    4. No Access

      Book Chapter

      Pages 155-170

      Identification of Disease Genes Using Gene Expression and Protein–Protein Interaction Data

    5. No Access

      Book Chapter

      Pages 171-193

      Rough Sets for Insilico Identification of Differentially Expressed miRNAs

  5. Clustering

    1. Front Matter

      Pages 195-195

    2. No Access

      Book Chapter

      Pages 197-224

      Grouping Functionally Similar Genes From Microarray Data Using Rough–Fuzzy Clustering

    3. No Access

      Book Chapter

      Pages 225-252

      Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classification

    4. No Access

      Book Chapter

      Pages 253-276

      Possibilistic Biclustering for Discovering Value-Coherent Overlapping \(\delta \) -Biclusters

    5. No Access

      Book Chapter

      Pages 277-297

      Fuzzy Measures and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images

  6. Back Matter

    Pages 299-304