{ "item_title" : "Next Generation Microarray Bioinformatics", "item_author" : [" Junbai Wang", "Aik Choon Tan", "Tianhai Tian "], "item_description" : "TABLE OF CONTENTS PREFACE LIST OF CONTRIBUTORS I) Introduction and Resources for Microarray Bioinformatics 1. A Primer on the Current State of Microarray Technologies Alexander J. Trachtenberg, Robert J. Chang, Azza E. Abdalla, Andrew Fraser, Steven Y. He, Jessica N. Lacy, Chiara Rivas-Morello, Allison Truong, Gary Hardiman, Lucila Ohno-Machado, Fang Liu, Eivind Hovig and Winston Patrick Kuo 2. The KEGG Databases and Tools Facilitating Omics Analysis: Latest Developments Involving Human Diseases and Pharmaceuticals Masaaki Kotera, Mika Hirakawa, Toshiaki Tokimatsu, Susumu Goto and Minoru Kanehisa 3. Strategies to Explore Functional Genomics Data Sets in NCBI's GEO Database Stephen E. Wilhite and Tanya Barrett II) Microarray Data Analysis (Top down approach) 4. Analyzing Cancer Samples with SNP Arrays Peter Van Loo, Gro Nilsen, Silje H. Nordgard, Hans Kristian Moen Vollan, Anne- Lise B rresen-Dale, Vessela N. Kristensen and Ole Christian Lingj rde 5. Classification Approaches for Microarray Gene Expression Data Analysis Leo Wang-Kit Cheung 6. Biclustering of Time Series Microarray Data Jia Meng and Yufei Huang 7. Using the Bioconductor GeneAnswers Package to Interpret Gene Lists Gang Feng, Pamela Shaw, Steven T. Rosen, Simon M. Lin and Warren A. Kibbe 8. Analysis of Isoform Expression from Splicing Array using Multiple Comparisons T. Murlidharan Nair 9. Functional Comparison of Microarray Data across Multiple Platforms Using the Method of Percentage of Overlapping Functions Zhiguang Li, Joshua C. Kwekel and Tao Chen 10. Performance Comparison of Multiple Microarray Platforms for Gene Expression Profiling Fang Liu, Winston P. Kuo, Tor-Kristian Jenssen and Eivind Hovig 11. Integrative Approaches for Microarray Data Analysis Levi Waldron, Hilary A. Coller and Curtis Huttenhower III) Microarray Bioinformatics in Systems Biology (Bottom up approach) 12. Modelling Gene Regulation Networks using Ordinary Differential Equations Jiguo Cao, Xin Qi and Hongyu Zhao 13. Non-homogeneous Dynamic Bayesian Networks in Systems Biology Sophie L bre, Frank Dondelinger and Dirk Husmeier 14. Inference of Regulatory Networks from Microarray Data with R and the Bioconductor Package qpgraph Robert Castelo and Alberto Roverato 15. Effective Nonlinear Methods for Inferring Genetic Regulation from Time-series Microarray Gene Expression Data Junbai Wang and Tianhai Tian IV) Next Generation Sequencing Data Analysis 16. An Overview of the Analysis of Next Generation Sequencing Data Andreas Gogol-D ring and Wei Chen 17. How to Analyze Gene Expression using RNA-Sequencing Data Daniel Ramsk ld, Ersen Kavak and Rickard Sandberg 18. Analyzing ChIP-seq Data: Preprocessing, Normalization, Differential Identification and Binding Pattern Characterization Cenny Taslim, Kun Huang, Tim Huang and Shili Lin 19. Identifying Differential Histone Modification Sites from ChIP-seq Data Han Xu and Wing-Kin Sung 20. ChIP-Seq Data Analysis: Identification of Protein-DNA Binding Sites with SISSRs Peak Finder Leelavati Narlikar and Raja Jothi 21. Using ChIPMotifs for de novo Motif Discovery of OCT4 and ZNF263 based on ChIP-based High-throughput Experiments Brian A. Kennedy, Xun Lan, Tim H-M. Huang, Peggy J. Farnham and Victor X. Jin V) Emerging Applications of Microarray and Next Generation Sequencing 22. Hidden Markov Models for Controlling False Discovery Rate in Genome-Wide Association Analysis Zhi Wei 23. Employing Gene Set Top Scoring Pairs to Identify Deregulated Pathway-Signatures in Dilated Cardiomyopathy from Integrated Microar", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/49/395/857/1493958577_b.jpg", "price_data" : { "retail_price" : "159.00", "online_price" : "159.00", "our_price" : "159.00", "club_price" : "159.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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