Biological knowledge discovery handbook : preprocessing, mining and postprocessing of biological data / / edited by Mourad Elloumi, Albert Y. Zomaya ; cover Design, Michael Rutkowski ; Jad Abbass [and one hundred twenty eight others], contributors

• Record Nr.: UNINA9910821103803321
• Autore: Elloumi Mourad
• Pubbl/distr/stampa: Hoboken, New Jersey : , : Wiley, , 2014; ©2014
• ISBN: 1-118-85372-5; 1-118-61715-0; 1-118-61711-8
• Descrizione fisica: 1 online resource (1192 p.)
• Collana: Wiley Series in Bioinformatics : Computational Techniques and Engineering
• Classificazione: COM021040
• Altri autori (Persone): ElloumiMourad; RutkowskiMichael; AbbassJad
• Disciplina: 572.80285
• Soggetti: Bioinformatics; Computational biology; Data mining
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references at the end of each chapters and index.
• Nota di contenuto: BIOLOGICAL KNOWLEDGE DISCOVERY HANDBOOK: Preprocessing, Mining, and Postprocessing of Biological Data; CONTENTS; PREFACE; CONTRIBUTORS; SECTION I: BIOLOGICAL DATA PREPROCESSING; PART A: BIOLOGICAL DATA MANAGEMENT; 1 GENOME AND TRANSCRIPTOME SEQUENCE DATABASES FOR DISCOVERY, STORAGE, AND REPRESENTATION OF ALTERNATIVE SPLICING EVENTS; 1.1 INTRODUCTION; 1.2 SPLICING; 1.2.1 Mechanism of Splicing; 1.2.2 Regulation of Splicing; 1.3 ALTERNATIVE SPLICING; 1.3.1 Introduction to Alternative Splicing; 1.3.2 Mechanism of Alternative Splicing; 1.3.3 Regulation of Alternative Splicing; 1.3.4 Evolution and Conservation of Splicing and Alternative Splicing 1.4 ALTERNATIVE SPLICING DATABASES; 1.4.1 Genomic and ; Transcriptomic Sequence Analyses; 1.4.2 Literature Overview of Various Alternative Splicing Databases; 1.4.3 SDBs; 1.5 DATA MINING FROM ALTERNATIVE SPLICING DATABASES; 1.5.1 Implementation of dbASQ and Utility of SDBs; 1.5.2 Identification of Transcript-Initial and Transcript-Terminal Variation; ACKNOWLEDGMENTS; WEB RESOURCES; REFERENCES; 2 CLEANING, INTEGRATING, AND WAREHOUSING GENOMIC DATA FROM BIOMEDICAL RESOURCES; 2.1 INTRODUCTION; 2.2 RELATED WORK; 2.3 TYPOLOGY OF DATA QUALITY PROBLEMS IN BIOMEDICAL RESOURCES 2.4 CLEANING, INTEGRATING, AND WAREHOUSING BIOMEDICAL DATA; 2.4.1 Lessons Learned from Integrating and Warehousing Biomedical Data on Liver Genes and Diseases; 2.4.2 Data Quality-Aware Solutions; 2.4.3 Biological Entity Resolution and Record Linkage; 2.4.4 Ontology-Based Approaches; 2.5 CONCLUSIONS AND PERSPECTIVES; WEB RESOURCES; REFERENCES; 3 CLEANSING OF MASS SPECTROMETRY DATA FOR PROTEIN IDENTIFICATION AND QUANTIFICATION; 3.1 INTRODUCTION; 3.2 PREPROCESSING APPROACH FOR IMPROVING PROTEIN IDENTIFICATION; 3.2.1 Existing Approaches; 3.2.2 New Dynamic Wavelet-Based Spectra Preprocessing Method 3.3 IDENTIFICATION FILTERING APPROACH FOR IMPROVING PROTEIN IDENTIFICATION; 3.3.1 Existing Approaches; 3.3.2 New Target-Decoy Approach for Improving Protein Identification; 3.4 EVALUATION RESULTS; 3.4.1 Evaluation of New Proprocessing Method; 3.4.2 Evaluation of New Identification Filtering Method; 3.5 CONCLUSION; REFERENCES; 4 FILTERING PROTEIN-PROTEIN INTERACTIONS BY INTEGRATION OF ONTOLOGY DATA; 4.1 INTRODUCTION; 4.2 EVALUATION OF SEMANTIC SIMILARITY; 4.2.1 Gene Ontology; 4.2.2 Survey of Semantic Similarity Measures; 4.2.3 Correlation with Functional Categorizations 4.3 IDENTIFICATION OF FALSE PROTEIN-PROTEIN INTERACTION DATA; 4.3.1 Classification Method; 4.3.2 Accuracy of PPI Classification; 4.3.3 Reliability of PPI Data; 4.4 CONCLUSION; REFERENCES; PART B: BIOLOGICAL DATA MODELING; 5 COMPLEXITY AND SYMMETRIES IN DNA SEQUENCES; 5.1 INTRODUCTION; 5.2 ARCHAEA; 5.3 PATTERNS ON INDICATOR MATRIX; 5.3.1 Indicator Matrix; 5.3.2 Test Sequences; 5.4 MEASURE OF COMPLEXITY AND INFORMATION; 5.4.1 Complexity; 5.4.2 Fractal Dimension; 5.4.3 Entropy; 5.5 COMPLEX ROOT REPRESENTATION OF DNA WORDS; 5.5.1 Pseudorandom Sequence on Unit Circle
• Sommario/riassunto: The first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data-and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)-providing in-depth fundamental and technical field information on the most important topics encountered. Written by top