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9780471631811

Genomics and Proteomics Engineering in Medicine and Biology

by
  • ISBN13:

    9780471631811

  • ISBN10:

    0471631817

  • Edition: 1st
  • Format: Hardcover
  • Copyright: 2007-01-02
  • Publisher: Wiley-IEEE Press

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Summary

Genomics and Proteomics Engineering in Medicine and Biology highlights current applications of biomedical informatics, as well as advancements in genomics-proteomics areas. Structures and algorithms are used to analyze genomic data and develop computational solutions for pathological understanding.

Author Biography

METIN AKAY, PHD, is the Interim Chair and Professor of Bioengineering for the Harrington Department of Bioengineering at the Arizona State University. Dr. Akay is the founding Series Editor of the IEEE Press Series on Biomedical Engineering. In 1997, he received the prestigious Early Career Achievement Award from the IEEE Engineering in Medicine and Biology Society (EMBS). He was the program chair of both the annual IEEE EMBS Conference and Summer School for 2001. Dr. Akay has published several papers in the field and authored, coauthored, or edited fourteen books. He is also the editor in chief of the Wiley Encyclopedia of Biomedical Engineering.

Table of Contents

Preface xi
Contributors xiii
Qualitative Knowledge Models in Functional Genomics and Proteomics
1(24)
Mor Peleg
Irene S. Gabashvili
Russ B. Altman
Introduction
1(2)
Methods and Tools
3(3)
Modeling Approach and Results
6(13)
Discussion
19(1)
Conclusion
20(5)
References
21(4)
Interpreting Microarray Data and Related Applications Using Nonlinear System Identification
25(30)
Michael Korenberg
Introduction
25(1)
Background
25(5)
Parallel Cascade Identification
30(4)
Constructing Class Predictors
34(1)
Prediction Based on Gene Expression Profiling
35(11)
Comparing Different Predictors Over the Same Data Set
46(2)
Concluding Remarks
48(7)
References
49(6)
Gene Regulation Bioinformatics of Microarray Data
55(44)
Gert Thijs
Frank De Smet
Yves Moreau
Kathleen Marchal
Bart De Moor
Introduction
55(2)
Introduction to Transcriptional Regulation
57(2)
Measuring Gene Expression Profiles
59(2)
Preprocessing of Data
61(2)
Clustering of Gene Expression Profiles
63(7)
Cluster Validation
70(6)
Searching for Common Binding Sites of Coregulated Genes
76(11)
Inclusive: Online Integrated Analysis of Microarray Data
87(2)
Further Integrative Steps
89(1)
Conclusion
90(9)
References
91(8)
Robust Methods for Microarray Analysis
99(32)
George S. Davidson
Shawn Martin
Kevin W. Boyack
Brian N. Wylie
Juanita Martinez
Anthony Aragon
Margaret Werner-Washburne
Monica Mosquera-Caro
Cheryl Willman
Introduction
99(1)
Microarray Experiments and Analysis Methods
100(3)
Unsupervised Methods
103(14)
Supervised Methods
117(10)
Conclusion
127(4)
References
128(3)
In Silico Radiation Oncology: A Platform for Understanding Cancer Behavior and Optimizing Radiation Therapy Treatment
131(26)
G. Stamatakos
D. Dionysiou
N. Uzunoglu
Philosophiae Tumoralis Principia Algorithmica: Algorithmic Principles of Simulating Cancer on Computer
131(2)
Brief Literature Review
133(2)
Paradigm of Four-Dimensional Simulation of Tumor Growth and Response to Radiation Therapy In Vivo
135(13)
Discussion
148(2)
Future Trends
150(7)
References
150(7)
Genomewide Motif Identification Using a Dictionary Model
157(16)
Chiara Sabatti
Kenneth Lange
Introduction
157(3)
Unified Model
160(4)
Algorithms for Likelihood Evaluation
164(3)
Parameter Estimation via Minorization--Maximization Algorithm
167(3)
Examples
170(1)
Discussion and Conclusion
171(2)
References
172(1)
Error Control Codes and the Genome
173(36)
Elebeoba E. May
Error Control and Communication: A Review
173(7)
Central Dogma as Communication System
180(4)
Reverse Engineering the Genetic Error Control System
184(19)
Applications of Biological Coding Theory
203(6)
References
205(4)
Complex Life Science Multidatabase Queries
209(18)
Zina Ben Miled
Nianhua Li
Yue He
Malika Mahoui
Omran Bukhres
Introduction
209(3)
Architecture
212(2)
Query Execution Plans
214(5)
Related Work
219(3)
Future Trends
222(5)
References
223(4)
Computational Analysis of Proteins
227(30)
Dimitrios I. Fotiadis
Yorgos Goletsis
Christos Lampros
Costas Papaloukas
Introduction: Definitions
227(2)
Databases
229(3)
Sequence Motifs and Domains
232(3)
Sequence Alignment
235(6)
Modeling
241(1)
Classification and Prediction
242(6)
Natural Language Processing
248(4)
Future Trends
252(5)
References
252(5)
Computational Analysis of Interactions Between Tumor and Tumor Suppressor Proteins
257(32)
E. Pirogova
M. Akay
I. Cosic
Introduction
257(4)
Methodology: Resonant Recognition Model
261(4)
Results and Discussions
265(19)
Conclusion
284(5)
References
285(4)
Index 289(10)
About the Editor 299

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