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Wednesday, August 31, 2005 (台) - (B2005)Advanced Data Mining Technologies in Bioinformatic

Information technologies have made a tremendous contribution to the development of bioinformatics in recent years. But to conquer more complicated tasks such as microarray data analysis, protein-protein interaction, gene mapping, biochemical pathways, and systems biology, more sophisticated techniqu



CALL FOR CHAPTERS

Advanced Data Mining Technologies in Bioinformatics

A book edited by Dr. Hui-Huang Hsu, Tamkang University, Taiwan

Important Dates:

File Download:
Submission of Chapter Proposals: September 15, 2004
Notification of Proposals Acceptance: October 15, 2004
Full Chapters Due: February 1, 2005
Notification of Chapter Revisions: April 1, 2005  April 20, 2005
Revised Chapters Due: June 1, 2005
Notification of Final Chapters Acceptance: July 1, 2005
Final Accepted Chapters Due: August 1, 2005
Send Complete Manuscripts: August 31, 2005

Call for Chapters in PDF

Chapter Organization Guidelines

Guidelines for Preparing Accepted Chapters

Author's Warranty and Transfer of Copyright Agreement

Introduction

Information technologies have made a tremendous contribution to the development of bioinformatics in recent years. But to conquer more complicated tasks such as microarray data analysis, protein-protein interaction, gene mapping, biochemical pathways, and systems biology, more sophisticated techniques are needed. Data mining technologies can be used to interpret information from biological sequences and molecules in a more efficient and effective way.

The Overall Objective of the Book

There exists a need for an edited collection of articles in this cross-discipline area. The book aims to provide relevant theoretical frameworks and latest empirical research findings in the area. Readers can benefit from this book in understanding basics and problems of bioinformatics, as well as the applications of data mining technologies in tackling the problems and the essential research topics in the field.

The Target Audience

The audiences of this book are senior or graduate students major in computer science, computer engineering, or management information system as well as professional instructors and researchers. The book is also written for professionals in bioinformatics who want to understand how data mining technologies can be applied to accelerate bioinformatics research.

Recommended topics include but are not limited to the following:

  • Bioinformatics: Gene expression analysis, Protein/RNA structure prediction, Phylogenetics, Sequence and structural motifs, Genomics and Proteomics, Gene finding, Drug design, Modeling of biochemical pathways.

  • Data Mining: Data preprocessing and database support, Statistical and bayesian approaches, Machine Learning and pattern recognition.

  • Summary of Current Research Activities and Future Directions

Submission Procedure

Researchers and practitioners are invited to submit on or before September 15, 2004, a 2-5 page manuscript proposal clearly explaining the mission and concerns of the proposed chapter. Authors of accepted proposals will be notified by October 15, 2004 about the status of their proposals and sent chapter organizational guidelines. Full chapters are expected to be submitted by February 1, 2005. All submitted chapters will be reviewed on a blind review basis. The book is schedule to be published by Idea Group, Inc., publisher of the Idea Group Publishing, Information Science Publishing, IRM Press, CyberTech Publishing and Idea Group Reference imprints, in 2005.

Inquiries and Submissions can be forwarded electronically (Word document) or by mail to:

Dr. Hui-Huang Hsu
Department of Computer Science and Information Engineering, Tamkang University
151 Ying-Chuan Rd., Tamsui, Taipei, 25137, Taiwan, R.O.C.
Tel: +886-2-26215656 Ext. 2616  w  Fax: +886-2-26209749
E-mail: hhsu@cs.tku.edu.tw



 
 
 
 
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