
Computational Systems Bioinformatics - Methods And Biomedical Applications
Methods And Biomedical Applications
World Scientific Publishing Co Pte Ltd
Will be published approx. on 4. January 2008
Book
Hardback
400 pages
978-981-270-704-8 (ISBN)
Description
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.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Undergraduate students in bioinformatics and medical computer science, individuals interested in learning the systems approach to analyzing and understanding the complexity of biological phenomena.
Product notice
Unsewn / adhesive bound
Paper over boards
Dimensions
Height: 234 mm
Width: 159 mm
Thickness: 22 mm
Weight
773 gr
ISBN-13
978-981-270-704-8 (9789812707048)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Author
The Methodist Hospital, Usa
The University Of Texas Health Science Center At Houston, Usa
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 Identification; Gene Interaction Based on Combined Microarray and Sequence Technology; Protein Structure Informatics; Biomarker Discovery from Proteomics; Bioimaging Informatics; Conclusions.