LEADER 03313oam 2200565I 450 001 9910828479303321 005 20230803201942.0 010 $a0-429-15779-7 010 $a1-4822-4662-7 024 7 $a10.1201/b16589 035 $a(CKB)3710000000089699 035 $a(EBL)1581465 035 $a(SSID)ssj0001153575 035 $a(PQKBManifestationID)11733383 035 $a(PQKBTitleCode)TC0001153575 035 $a(PQKBWorkID)11151554 035 $a(PQKB)10373430 035 $a(MiAaPQ)EBC1581465 035 $a(OCoLC)870946465 035 $a(EXLCZ)993710000000089699 100 $a20180331h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aBioinformatics $ethe impact of accurate quantification on proteomic and genetic analysis and research /$fedited by Yu Liu, PhD 205 $aFirst edition. 210 1$aWaretown, NJ :$cApple Academic Press, Inc. ;$aBoca Raton, FL :$cCRC Press,$d[2014] 210 4$dİ2014 215 $a1 online resource (406 p.) 300 $aDescription based upon print version of record. 311 $a1-77188-019-8 320 $aIncludes bibliographical references at the end of each chapters. 327 $aFront Cover; About the Editor; Contents; Acknowledgments and How to Cite; List of Contributors; Introduction; Part I: RNA-Seq; Chapter 1: The Bench Scientist's Guide to Statistical Analysis of RNA-Seq Data; Chapter 2: Assembly of Non-Unique Insertion Content Using Next-Generation Sequencing; Chapter 3: RSEM: Accurate Transcript Quantification from RNA-Seq Data With or Without a Reference Genome; Part II: Microarray; Chapter 4: A Regression System for Estimation of Errors Introduced by Confocal Imaging into Gene Expression Data in Situ 327 $aChapter 5: SPACE: An Algorithm to Predict and Quantify Alternatively Spliced Isoforms Using MicroarraysChapter 6: Link-Based Quantitative Methods to Identify Differentially Coexpressed Genes and Gene Pairs; Chapter 7: Dimension Reduction with Gene Expression Data Using Targeted Variable Importance Measurement; Part III: GWAS; Chapter 8: Genome-Wide Association Study of Stevens-Johnson Syndrome and Toxic Epidermal Necrolysis in Europe; Chapter 9: Genotyping Common and Rare Variation Using Overlapping Pool Sequencing 327 $aChapter 10: Learning Genetic Epistasis Using Bayesian Network Scoring CriteriaChapter 11: Combined Analysis of Three Genome-Wide Association Studies on vWF and FVIII Plasma Levels; Part IV: Proteomics; Chapter 12: Statistical Methods for Quantitative Mass Spectrometry Proteomic Experiments with Labeling; Chapter 13: MRCQuant: An Accurate LC-MS Relative Isotopic Quantification Algorithm on TOF Instruments; Author Notes 330 $aThe book introduces bioinformatic and statistical methodology and shows approaches to bias correction and error estimation. It also presents quantitative methods for genome and proteome analysis. 606 $aBioinformatics 606 $aComputational biology 615 0$aBioinformatics. 615 0$aComputational biology. 676 $a570.285 702 $aLiu$b Yu 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910828479303321 996 $aBioinformatics$9377951 997 $aUNINA