My Account Log in

1 option

Computational systems bioinformatics : methods and biomedical applications / Xiaobo Zhou, Stephen T. C. Wong.

Holman Biotech Commons QH324.2 .Z47 2008
Loading location information...

Available This item is available for access.

Log in to request item
Format:
Book
Author/Creator:
Zhou, Xiaobo
Contributor:
Wong, Stephen T. C.
Language:
English
Subjects (All):
Computational biology.
DNA microarrays.
Bioinformatics.
Computational Biology--methods.
Microarray Analysis--methods.
Oligonucleotide Array Sequence Analysis--methods.
Statistics as Topic--methods.
Medical Subjects:
Computational Biology--methods.
Microarray Analysis--methods.
Oligonucleotide Array Sequence Analysis--methods.
Statistics as Topic--methods.
Physical Description:
x, 387 pages : illustrations (partly color) ; 24 cm
Place of Publication:
Singapore ; Hackensack, N.J. : World Scientific, [2008]
Summary:
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 either on 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.
Contents:
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.
Notes:
Includes bibliographical references and index.
ISBN:
9789812707048
9812707042
OCLC:
171258229

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account