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DM: Information-theoretic data-mining in biology: CFPsFrom: David L Dowe Date: Fri, 18 Jul 1997 23:23:53 -0400 (EDT) Dear "Data miners", Below is a fairly long Call For Papers (CFPs) and Call For Reviewers (CFRs) with a fairly tight deadline (apologies about that) of July 21 for a conference stream in Hawaii on Information-theoretic data-mining in biology. More follows: Complexity and information-theoretic approaches to biology ---------------------------------------------------------- This is the Call For Papers for the 3rd Pacific Symposium on BioComputing (PSB-3, 1998) conference stream on "Complexity and information-theoretic approaches to biology". PSB-98 will be held from 5-9 January, 1998, in Hawaii, at the Ritz Carlton Kapalua on Maui. Stream Organisers: David L. Dowe (dld@cs.monash.edu.au) and Klaus Prank. WWW site: http://www.cs.monash.edu.au/~dld/PSB-3/PSB-3.Info.CFPs.html . Specific technical area to be covered by this stream: Approaches to biological problems using notions of information or complexity, including methods such as Algorithmic Probability, Minimum Message Length and Minimum Description Length. Two possible applications are (e.g.) protein folding and biological information processing. Kolmogorov (1965) and Chaitin (1966) studied the notions of complexity and randomness, with Solomonoff (1964), Wallace (1968) and Rissanen (1978) applying these to problems of statistical and inferential learning and to prediction. The methods of Solomonoff, Wallace and Rissanen have respectively come to be known as Algorithmic Probability (ALP), Minimum Message Length (MML) and Minimum Description Length (MDL). All of these methods relate to information theory, and can also be thought of in terms of Shannon's information theory, and can also be thought of in terms of Boltzmann's thermo-dynamic entropy. An MDL/MML perspective has been suggested by a number of authors in the context of approximating unknown functions with some parametric approximation scheme (such as a neural network). The designated measure to optimize under this scheme combines an estimate of the cost of misfit with an estimate of the cost of describing the parametric approximation (Akaike 1973, Rissanen 1978, Barron and Barron 1988). This stream invites all original papers of a biological nature which use notions of information and/or complexity, with no strong preference as to what specific nature. Such work has been done in problems of, e.g., protein folding and DNA string alignment. As we shortly describe in some detail, such work has also been done in the analysis of temporal dynamics in biology such as neural spike trains and endocrine (hormonal) time series analysis using the MDL principle in the context of neural networks and context-free grammar complexity. To elaborate on one of the relevant topics above, in the last couple of years or so, there has been a major focus on the aspect of timing in biological information processing ranging from fields such as neuroscience to endocrinology. The latest work on information processing at the single-cell level using computational as well as experimental approaches reveals previously unimagined complexity and dynamism. Timing in biological information processing on the single-cell level as well as on the systems level has been studied by signal-processing and information-theoretic approaches in particular in the field of neuroscience (see for an overview: Rieke et al. 1996). Using such approaches to the understanding of temporal complexity in biological information transfer, the maximum information rates and the precision of spike timing to the understanding of temporal complexity in biological information transfer, the maximum information rates and the precision of spike timing could be revealed by computational methods (Mainen and Sejnowski, 1995; Gabbiani and Koch 1996; Gabbiani et al., 1996). The examples given above are examples of some possible biological application domains. We invite and solicit papers in all areas of (computational) biology which make use of ALP, MDL, MML and/or other notions of information and complexity. In problems of prediction, as well as using "yes"/"no" predictions, we would encourage the authors to consider also using probabilistic prediction, where the score assigned to a probabilistic prediction is given according to the negative logarithm of the stated probability of the event. List of Frequently Asked Questions (FAQs) re PSB-98 : ----------------------------------------------------- Q1. How can my paper be included in PSB's hardbound proceedings? PSB publishes peer-reviewed full papers in an archival proceedings. Each accepted paper will be allocated 12 pages in the proceedings volume. Paper authors are required to register (and pay) for the conference by the time they submit their camera-ready copy, or the paper will not be published. Q2. How does a PSB publication compare to a journal publication? PSB papers are strenuously peer reviewed, and must report significant original material. PSB expects to be included in Indicus Medicus, Medline and other indexing services starting this year. All accepted full papers will be indexed just as if they had appeared in a journal. It is too early to assess the impact of a PSB paper quantitatively, but we will take every action we can to improve the visibility and significance of PSB publication. Q3. If I do not want to submit a full paper to PSB, but wish to participate? Authors who do not wish to submit a full paper are welcome to submit one page abstracts, which will be distributed at the meeting separately from the archival proceedings, and are also welcome to display standard or computer-interactive posters. Q4. What are the paper submission deadlines? Papers will be due July 14, although session chairs can to adjust this deadline at their discretion. Results will be announced August 22, and camera ready copy will be due September 22. Poster abstracts will be accepted until October 1, and on a space available basis after that. Poster space is limited, especially for interactive posters that require computer or network access. Q5. Where should I send my submission? All full papers must be submitted to the central PSB address so that we can track the manuscripts. Physical submittors should send five copies of their paper to: PSB-98 c/o Section on Medical Informatics Stanford University Medical School, MSOB X215 Stanford, CA 94305-5479 USA Electronic submission of papers is welcome. Format requirements for electronic submission will be available on the web page (http://www.cgl.ucsf.edu/psb) or from Russ Altman (altman@smi.stanford.edu). Electronic papers will be submitted directly to Dr. Altman. We prefer that all one page abstracts be submitted electronically. Please send them to us in plain ascii text or as a Microsoft Word file. If this is impossible, please contact Dr. Altman as soon as possible. Q6. How can I obtain travel support to come to PSB? We have been able to offer partial travel support to many PSB attendees in the past, including most authors of accepted full papers who request support. However, due to our sponsoring agencies' schedules, we are unable to offer travel awards before the registration (and payment) deadlines for authors. We recognize that this is inconvenient, and we are doing our best to rectify the situation. NO ONE IS GUARANTEED TRAVEL SUPPORT. Travel support applications will be available on our web site (see Q7). Q7. How can I get more information about the meeting? Check our web page: http://www.cgl.ucsf.edu/psb or send email to the conference chair: hunter@nlm.nih.gov Further comments re PSB-98 : ---------------------------- PSB'98 will publish accepted full papers in an archival Proceedings. All contributed papers will be rigorously peer-reviewed by at least three referees. Each accepted full paper will be allocated up to 12 pages in the conference Proceedings. The best papers will be selected for a 30-minute oral presentation to the full assembled conference. Accepted poster abstracts will be distributed at the conference separately from the archival Proceedings. To be eligible for proceedings publication, each full paper must be accompanied by a cover letter stating that it contains original unpublished results not currently under consideration elsewhere. IMPORTANT DATES: Full paper submissions due (NEW deadline): July 21, 1997 Poster abstracts due: August 10, 1997 Notification of paper acceptance: August 22, 1997 Camera-ready copy due: September 22, 1997 Conference: January 5 - 8, 1998 More information about the "Complexity and information-theoretic approaches to biology" stream, including a sample list of relevant papers is available on the WWW at http://www.cs.monash.edu.au/~dld/PSB-3/PSB-3.Info.CFPs.html . For further information, e-mail Dr. David Dowe, dld@cs.monash.edu.au , or e-mail Dr. Klaus Prank, ndxdpran@rrzn-serv.de . This page was put together by Dr. David Dowe, Dept. of Computer Science, Monash University, Clayton, Vic. 3168, Australia e-mail: dld@cs.monash.edu.au Fax: +61 3 9905-5146 http://www.cs.monash.edu.au/~dld/ and Dr. Klaus Prank, Abteilung Klinische Endokrinologie Medizinische Hochschule Hannover Carl-Neuberg-Str. 1 D-30623 Hannover Germany e-mail: ndxdpran@rrzn-serv.de Tel.: +49 (511) 532-3827 Fax.: +49 (511) 532-3825 http://sun1.rrzn-user.uni-hannover.de/~ndxdpran/
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