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Information Theoretic Methods for Bioinformatics
- Subject: Information Theoretic Methods for Bioinformatics
- From: "EURASIP JBSB Alert" <bsb@alert.hindawi.com>
- Date: Wed, 23 Aug 2006 14:13:42 -0300
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EURASIP Journal on Bioinformatics and Systems Biology - An Open Access Journal
Special Issue on
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:
o Normalized maximum-likelihood (NML) universal models
o Minimum description length (MDL) techniques
o Microarray data modeling
o Denoising of genomic data
o Pattern recognition
o 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; jorma.rissanen@mdl-research.org
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; pdg@cwi.nl
Jukka Heikkonen, Laboratory of Computational Engineering, Helsinki
University of Technology, P.O. Box 9203, 02015 HUT, Finland;
jukka.heikkonen@tkk.fi
Petri Myllymaki, Department of Computer Science, University of Helsinki,
P.O. Box 68 (Gustaf Hallstromin katu 2b), 00014, Finland;
petri.myllymaki@cs.helsinki.fi
Teemu Roos, Complex Systems Computation Group, Helsinki Institute for
Information Technology, University of Helsinki, P.O.Box 68, 00014, Finland;
teemu.roos@hiit.fi
Juho Rousu, Department of Computer Science, University of Helsinki,
P.O. Box 68 (Gustaf Hallstromin katu 2b), 00014, Finland;
juho.rousu@cs.helsinki.fi
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