Scalable Pattern Recognition Algorithms Applications in Computational Biology and Bioinformatics

Recent advances in high-throughput technologies have resulted in a deluge of biological information. Yet the storage, analysis, and interpretation of such multifaceted data require effective and efficient computational tools. This unique text/reference addresses the need for a unified framework desc...

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Bibliographic Details
Main Authors: Maji, Pradipta, Paul, Sushmita (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2014, 2014
Edition:1st ed. 2014
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Introduction to Pattern Recognition and Bioinformatics
  • Part I Classification
  • Neural Network Tree for Identification of Splice Junction and Protein Coding Region in DNA
  • Design of String Kernel to Predict Protein Functional Sites Using Kernel-Based Classifiers
  • Part II Feature Selection
  • Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules
  • f -Information Measures for Selection of Discriminative Genes from Microarray Data
  • Identification of Disease Genes Using Gene Expression and Protein-Protein Interaction Data
  • Rough Sets for Insilico Identification of Differentially Expressed miRNAs
  • Part III Clustering
  • Grouping Functionally Similar Genes from Microarray Data Using Rough-Fuzzy Clustering
  • Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classification
  • Possibilistic Biclustering for Discovering Value-Coherent Overlapping d -Biclusters
  • Fuzzy Measures and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images