Springer Handbook of Bio- and Neuroinformatics

Area Editors for Part C: Machine learning methods for information processing

• Irwin King, Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong
  
• Kaizhu Huang, Institute of Automation, Chinese Academy of Sciences
  

You are invited to propose chapters for a handbook in Part C: Machine learning methods for information processing of the Springer Handbook of Bio- and Neuroinformatics. The book is planned to be published by Springer, Heidelberg, Germany in 2012.

Handbook of Bio- and Neuroinformatics” (HBBNI) will have nine parts, each covering a particular area of informatics, bioinformatics and neuroinformatics. Each part will contain a few chapters written by individual authors. The target audience for the Handbook are academics, students, scientists in industry and government research institutions, and libraries.

Part C of HBBNI ``Machine learning methods for information processing” aims to provide a comprehensive survey and deliver thorough research results in applying machine learning methods for information processing, especially bio-informatics. The topics of interests of this part include, but not limited to, the followings:

• Review of machine learning methodologies for bioinformatics
• Case-based reasoning for bioinformatics
• Rule based and fuzzy logic systems for bioinformatics
• Artificial neural networks and neuro-fuzzy systems.
• Evolutionary computation for bioinformatics
• Statistical kernel methods for bioinformatics methods
• Analysis of large-scale biological networks using machine learning

- Topic 1: Review of machine learning methodologies for bioinformatics

• Name: Dr. Colin Campbell
• Affiliation: Bristol University

- Topic 2: Case-based reasoning for bioinformatics

• Name: Prof. Janice Glasgo
• Affiliation: Queen's University

- Topic 3: Rule based and fuzzy logic systems for bioinformatics

• Name: Prof. Lipo Wang
• Affiliation: Nanyang Technology University

- Topic 4:Inferring transcriptional regulations with neural network model using fifferential evolution

• Name: Prof. Hitoshi Iba
• Affiliation: Tokyo University

- Topic 5: Evolutionary computation for bioinformatics

• Name: Prof. Clare Bates Congdon
• Affiliation: University of Southern Maine

- Topic 6: Statistical kernel methods for bioinformatics

• Name: Prof. Yan Fu
• Affiliation: Institute of Computing, Chinese Academy of Sciences

- Topic 7: Analysis of large-scale biological networks using machine learning

• Name: Dr. Alberto Paccanaro
• Affiliation: Royal Holloway University of London

Manuscripts should be formatted in accordance with the Springer format. A sample file can be downloaded from here.

While there are certain requirements for the presentation of individual chapters, they are not required in camera-ready format. It is the responsibility of the publisher to carry out the final editing and formatting of the manuscript. Authors are responsible for correctness of the manuscript, including content, language and formal presentation and should warrant that the work is original and has not been published in whole or in part, that it contains no libellous statements and does not infringe on any copyright, trademark, patent, statutory rights or proprietary rights of others.

Potential authors are encouraged to contact the area editors and submit their proposal by emails.

Dr. Irwin King
EMAIL: king at cse dot cuhk dot edu dot hk
Department of Computer Science and Engineering
The Chinese University of Hong Kong
Shatin, NT, Hong Kong

Dr. Kaizhu Huang
EMAIL: kzhuang at nlpr dot ia dot ac dot cn
National Laboratory of Pattern Recognition (NLPR)
Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road
Beijing 100190
P.R. China