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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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