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|a UAMI
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|a Bioinformatics :
|b the impact of accurate quantification on proteomic and genetic analysis and research /
|c edited by Yu Liu.
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|a Toronto :
|b Apple Academic Press,
|c 2014.
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|a 1 online resource (406 pages) :
|b illustrations
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|a text
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|a Front 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.
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|a Chapter 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.
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|a Chapter 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.
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|a The 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.
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|a Print version record.
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|a Includes bibliographical references and index.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Bioinformatics
|x Statistical methods.
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1 |
2 |
|a Computational Biology
|x methods
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|a Computational Biology
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|a Data Interpretation, Statistical
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|a Genome-Wide Association Study
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|a Microarray Analysis
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650 |
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|a Proteome
|x analysis
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650 |
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|a Sequence Analysis, RNA
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650 |
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|a Bio-informatique.
|
650 |
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|a Bio-informatique
|x Méthodes statistiques.
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650 |
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|a Étude d'association pangénomique.
|
650 |
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|a NATURE
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|2 bisacsh
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|a SCIENCE
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|a Proteomics
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|a Bioinformatik
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|a Liu, Yu,
|e editor.
|
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|i has work:
|a Bioinformatics (Liu) (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGbpKTB7R8QTjqgTdMWwwd
|4 https://id.oclc.org/worldcat/ontology/hasWork
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776 |
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|i Print version:
|a Liu, Yu.
|t Bioinformatics : The Impact of Accurate Quantification on Proteomic and Genetic Analysis and Research.
|d Hoboken : Apple Academic Press, ©2014
|z 9781771880190
|
856 |
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