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DOI: 10.4230/DagSemProc.08131.16
URN: urn:nbn:de:0030-drops-15053
URL: https://drops.dagstuhl.de/opus/volltexte/2008/1505/
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Schuchhardt, Johannes

Systems biology approaches for prioritizing therapeutic gene targets

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08131.SchuchhardtJohannes.ExtAbstract.1505.pdf (0.02 MB)


Abstract

Rational approaches to therapy of complex diseases may be improved by predictive
modelling of underlying disease mechanisms. Formulating and implementing such
models requires the integration of heterogeneous information from different sources
and usually entails considerable effort. We need new concepts and resources making
knowledge on causal regulatory interactions of genes and physiological states in a
disease context available. Dedicated ontologies and text mining methods can be of
great use for guiding and supporting the process of model construction and model
evaluation.


BibTeX - Entry

@InProceedings{schuchhardt:DagSemProc.08131.16,
  author =	{Schuchhardt, Johannes},
  title =	{{Systems biology approaches for prioritizing therapeutic gene targets}},
  booktitle =	{Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8131},
  editor =	{Michael Ashburner and Ulf Leser and Dietrich Rebholz-Schuhmann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2008/1505},
  URN =		{urn:nbn:de:0030-drops-15053},
  doi =		{10.4230/DagSemProc.08131.16},
  annote =	{Keywords: Rational therapy, predictive modelling, data integration, ontologies, pathway databases}
}

Keywords: Rational therapy, predictive modelling, data integration, ontologies, pathway databases
Collection: 08131 - Ontologies and Text Mining for Life Sciences : Current Status and Future Perspectives
Issue Date: 2008
Date of publication: 03.06.2008


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