LEADER 05911nam 2200769 450 001 9910821103803321 005 20230803220700.0 010 $a1-118-85372-5 010 $a1-118-61715-0 010 $a1-118-61711-8 035 $a(CKB)2550000001180145 035 $a(EBL)1584998 035 $a(SSID)ssj0001081616 035 $a(PQKBManifestationID)11587073 035 $a(PQKBTitleCode)TC0001081616 035 $a(PQKBWorkID)11090586 035 $a(PQKB)11223833 035 $a(OCoLC)870890600 035 $a(Au-PeEL)EBL1584998 035 $a(CaPaEBR)ebr10826728 035 $a(CaONFJC)MIL560259 035 $a(OCoLC)867318816 035 $a(MiAaPQ)EBC1584998 035 $a(EXLCZ)992550000001180145 100 $a20140125h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBiological knowledge discovery handbook $epreprocessing, mining and postprocessing of biological data /$fedited by Mourad Elloumi, Albert Y. Zomaya ; cover Design, Michael Rutkowski ; Jad Abbass [and one hundred twenty eight others], contributors 210 1$aHoboken, New Jersey :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (1192 p.) 225 0 $aWiley Series in Bioinformatics : Computational Techniques and Engineering 300 $aDescription based upon print version of record. 311 $a1-118-13273-4 311 $a1-306-29008-2 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aBIOLOGICAL 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 327 $a1.3.4 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 327 $a2.3 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 327 $a3.2.2 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 327 $a4.2.3 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 327 $a5.5.1 Pseudorandom Sequence on Unit Circle 330 $aThe first comprehensive overview of preprocessing, mining, and postprocessing of biological data Molecular biology is undergoing exponential growth in both the volume and complexity of biological data-and knowledge discovery offers the capacity to automate complex search and data analysis tasks. This book presents a vast overview of the most recent developments on techniques and approaches in the field of biological knowledge discovery and data mining (KDD)-providing in-depth fundamental and technical field information on the most important topics encountered. Written by top 410 0$aWiley Series in Bioinformatics 606 $aBioinformatics 606 $aComputational biology 606 $aData mining 615 0$aBioinformatics. 615 0$aComputational biology. 615 0$aData mining. 676 $a572.80285 686 $aCOM021040$2bisacsh 700 $aElloumi$b Mourad$01662660 701 $aElloumi$b Mourad$01662660 701 $aRutkowski$b Michael$01617289 701 $aAbbass$b Jad$01662661 702 $aZomaya$b Albert Y. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910821103803321 996 $aBiological knowledge discovery handbook$94019488 997 $aUNINA