Computational Systems Bioinformatics - Methods and Biomedical Applications

Erscheinungsjahr 2008
ISBN: 978-981-270-704-8
Verlag: World Scientific Publishing Company

Buch, Englisch, 400 Seiten, Format (B × H): 159 mm x 234 mm, Gewicht: 773 g

Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields.
This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.
From the content:
Introduction
Mathematical, Statistical, and Data Mining Principles
Missing Value Estimation Using KNN and Bayesian Methods
Normalization, Scaling, and Discretization
Cross-Platform Comparison
Discovering Differential Biomarkers
Gene Selection and Classification
Gene Clustering
Gene Prediction
Reverse Engineering: Gene Regulatory Network Construction and Its Behavior
Motif Detection and Transcription Factor Binding Site (TFBS) Identification
Integrated Microarray and Gene Sequence Analysis
Protein Structure Informatics
Biomarker Discovery from Proteomics
Bioimaging Informatics
Conclusions

Zielgruppe

Undergraduate students in bioinformatics and medical computer science, individuals interested in learning the systems approach to analyzing and understanding the complexity of biological phenomena.

Autoren/Hrsg.

Zhou, Xiaobo

Wong, Stephen T. C.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Professionelle Anwendung Computersimulation & Modelle, 3-D Graphik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizinische Mathematik & Informatik
• Naturwissenschaften Biowissenschaften Molekularbiologie
• Naturwissenschaften Biowissenschaften Proteinforschung
• Naturwissenschaften Biowissenschaften Zellbiologie
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik