TY  - BOOK
AU  - Liu,Yu
TI  - Bioinformatics: the impact of accurate quantification on proteomic and genetic analysis and research 
SN  - 1771880198
U1  - 570.285 22
PY  - 2014///
CY  - Oakvill, Ontario, Waretown
PB  - Apple Academic Press
KW  - BUEsh
KW  - Bioinformatics
KW  - Statistical methods
KW  - Computational biology
KW  - methods
KW  - Sequence Analysis, RNA
KW  - Data Interpretation, Statistical
KW  - Microarray Analysis
KW  - Proteome
KW  - analysis
KW  - PPhrm
KW  - February2016
N1  - Index : p.377- 384; Includes bibliographical references; 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.
	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.
	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
ER  -