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Authors:Henrik Boström: Informatics Research Centre, University of Skövde, Sweden \ Dept. Of Computer and Systems Sciences, Stockholm University, Sweden
Ulf Norinder: AstraZeneca R&D Södertälje, Sweden
Ulf Johansson: School of Business and Informatics, University of Borås, Sweden
Cecilia Sönströd: School of Business and Informatics, University of Borås, Sweden
Tuve Löfström: School of Business and Informatics, University of Borås, Sweden
Elzbieta Dura: Lexware Labs, Sweden
Ola Engkvist: AstraZeneca R&D Mölndal, Sweden
Sorel Muresan: AstraZeneca R&D Mölndal, Sweden
Niklas Blomberg: AstraZeneca R&D Mölndal, Sweden
Publication title:The INFUSIS Project: Data and Text Mining for In Silico Modeling
Conference:The Swedish AI Society Workshop May 20-21; 2010; Uppsala University
Publication type: Abstract and Fulltext
Issue:048
Article No.:011
Abstract:The INFUSIS project is a three-year colla-boration between industry and academia in order to further the development of new effective methods for generating predictive and interpretable models from machine learning and text mining to solve drug discovery problems.
Language:English
Year:2010
No. of pages:6
Pages:65-70
Series:Linköping Electronic Conference Proceedings
ISSN (print):1650-3686
ISSN (online):1650-3740
File:http://www.ep.liu.se/ecp/048/011/ecp1048011.pdf
Available:2010-05-19
Publisher:Linköping University Electronic Press; Linköpings universitet

REFERENCE TO THIS PAGE
Henrik Boström, Ulf Norinder, Ulf Johansson, Cecilia Sönströd, Tuve Löfström, Elzbieta Dura, Ola Engkvist, Sorel Muresan, Niklas Blomberg (2010). The INFUSIS Project: Data and Text Mining for In Silico Modeling, The Swedish AI Society Workshop May 20-21; 2010; Uppsala University http://www.ep.liu.se/ecp_article/index.en.aspx?issue=048;article=011 (accessed 10/23/2014)