Information Theoretic Methods for Bioinformatics
Call for Papers
Information theoretic methods for modeling are at the center of the current
efforts to interpret bioinformatics data. The high pace at which new
technologies are developed for collecting genomic and proteomic data
requires a sustained effort to provide powerful methods for modeling the
data acquired. Recent advances in universal modeling and minimum
description length techniques have been shown to be well suited for
modeling and analyzing such data. This special issue calls for
contributions to modeling of data arising in bioinformatics and systems
biology by information theoretic means. Submissions should address
theoretical developments, computational aspects, or specific applications.
Suitable topics for this special issue include but are not limited to:
Normalized maximum-likelihood (NML) universal models
Minimum description length (MDL) techniques
Microarray data modeling
Denoising of genomic data
Pattern recognition
Data compression-based modeling
Authors should follow the EURASIP JBSB manuscript format described at the
journal site http://www.hindawi.com/GetJournal.aspx?journal=BSB.
Prospective authors should submit an electronic copy of their complete
manuscript through the EURASIP JBSB's Manuscript Tracking System at
http://www.hindawi.com/mts/, according to the following timetable:
Manuscript Due February 1, 2007
Acceptance Notification May 1, 2007
Final Manuscript Due July 1, 2007
Publication Date 3rd Quarter, 2007
Guest Editors:
Jorma Rissanen, Computer Learning Research Center, University of London,
Royal Holloway,TW20 0EX, UK
Peter Grünwald, Centrum voor Wiskunde en Informatica (CWI), National
Research Institute for Mathematics and Computer Science, P.O. Box 94079,
1090 GB Amsterdam, The Netherlands
Jukka Heikkonen, Laboratory of Computational Engineering, Helsinki
University of Technology, P.O. Box 9203, 02015 HUT, Finland
Petri Myllymäki, Department of Computer Science, University of Helsinki,
P.O. Box 68 (Gustaf Hällströmin katu 2b), 00014, Finland
Teemu Roos, Complex Systems Computation Group, Helsinki Institute for
Information Technology, University of Helsinki, P.O.Box 68, 00014, Finland
Juho Rousu, Department of Computer Science, University of Helsinki, P.O.
Box 68 (Gustaf Hällströmin katu 2b), 00014, Finland
For more information please contact
Dalia.hassanin at hindawi.com
