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In the post-genome era the vast mass of biological data
is growing more than ever before. The creation of automatic and
“intelligent” tools that can help to organize, analyze and unravel the
underlying information is one of the most wonted and less solved
problems in biological sciences. Pushing forward current boundaries
between existing solutions and innovative ideas is the only way to fill
the gap between what we know and what we understand. Moreover, great
expectations have been generated in different fields by the increasing
role and impact of computer science in processing and analyzing
terabytes of data. Machine Learning methods are among the most
successful computational tools that have been introduced so far in
Computational Biology.
The 10^th edition of the Bologna Winter School in Bioinformatics will
provide comprehensive overview of different Machine Learning fields in
the light of their common probabilistic framework. The programme starts
with an introduction to Graphical Models that are the unifying
formalism on which most of the current machine learning methods can be
described. Dynamical Bayesian networks with specific application to the
reconstruction of biological networks will be then discussed. An
introduction to the hidden Markov models will explain the details of
the these highly successful probabilistic models. Finally two days are
devoted at the Statistical learning models such as Support Vector
Machines and andvanced Neural Networks.
These different one-morning tutorials will be followed by general
lectures describing the most recent successful applications in
Computational Biology.
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TEACHERS
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Florence d'Alché -Buc
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University
of Evry-Val-d'Essonne
Evry, FR
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Paolo Frasconi
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Universityof
Florence
Florence, IT
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Dmitrij Frishman
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Technical
University
Munich, DE
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Roderic Guigò
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University
"Pompeu Fabra"
Barcelona, ES
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David T. Jones
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University
College
London, UK
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Anders Krogh
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University
of Copenhagen
Copenhagen, DK
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Arthur Lesk
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PennState
University
University Park, USA
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Gianluca Pollastri
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University
College
Dublin, IE
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Massimiliano Pontil
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University
College
London, UK
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Anna
Tramontano
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University
"La Sapienza"
Roma, IT
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Michael Tress
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Centro
Nacional de Investigaciones Oncológicas
Madrid, ES
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