Scalable Pattern Recognition Algorithms Applications in Computational Biology and Bioinformatics /

• Κύριοι συγγραφείς: Maji, Pradipta (Συγγραφέας), Paul, Sushmita (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2014.
• Θέματα: Computer science.; Radiology.; Data mining.; Artificial intelligence.; Pattern recognition.; Bioinformatics.; Computer Science.; Computational Biology/Bioinformatics.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Imaging / Radiology.

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...

Πίνακας περιεχομένων:

• 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.