machine learning database for problems in biology

[Virginia de Sa]

Scientists from the San Diego Supercomputer Center(SDSC) in
collaboration with scientists from the cognitive science
department are putting together a grant proposal to construct a new
database of genomic problems for machine learning.  The idea is to be
much more comprehensive and up to date than the UCI database and more
user-friendly than GENBANK (where you have to be an expert to remove
"wrong" entries).  The scientists from the SDSC are Bioinformaticians
interested in making the latest biological data available to the
machine learning community and in exploiting the the latest machine
learning tools to answer complex biological problems.  There will also
be different "views" of the same data, that should be useful for
multi-view learning (Multi-view learning, Co-training,  
Minimizing-Disagreement, IMAX, ...).

If you are interested in this kind of database, please let us know
(nair at sdsc.edu, desa at ucsd.edu, gribskov at sdsc.edu) as soon as possible.  
Also let us know if there are particular features you would like (or 
features you don't like about current databases).

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Virginia de Sa                                       desa at ucsd.edu
Department of Cognitive Science                   ph: 858-822-5095
9500 Gilman Dr.                                       858-822-2402
La Jolla, CA 92093-0515                          fax: 858-534-1128
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