Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics

by Pradipta Maji

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

328 pages, Paperback

First published May 31, 2014