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DOI: 10.4230/DagRep.3.5.78
URN: urn:nbn:de:0030-drops-41791
URL: https://drops.dagstuhl.de/opus/volltexte/2013/4179/
Bender, Andreas ; Göhlmann, Hinrich ; Hochreiter, Sepp ; Shkedy, Ziv
Weitere Beteiligte (Hrsg. etc.): Andreas Bender and Hinrich Göhlmann and Sepp Hochreiter and Ziv Shkedy
Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)
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Abstract
This report documents the program and the outcomes of Dagstuhl Seminar 13212 "Computational Methods Aiding Early-Stage Drug Design". The aim of the seminar was to bring scientists working on various aspects of drug discovery, genomic technologies and computational science (e.g., bioinformatics, chemoinformatics, machine learning, and statistics) together to explore how high dimensional data sets created by genomic technologies can be integrated to identify functional manifestations of drug actions on living cells early in the drug discovery process.
BibTeX - Entry
@Article{bender_et_al:DR:2013:4179,
author = {Andreas Bender and Hinrich G{\"o}hlmann and Sepp Hochreiter and Ziv Shkedy},
title = {{Computational Methods Aiding Early-Stage Drug Design (Dagstuhl Seminar 13212)}},
pages = {78--94},
journal = {Dagstuhl Reports},
ISSN = {2192-5283},
year = {2013},
volume = {3},
number = {5},
editor = {Andreas Bender and Hinrich G{\"o}hlmann and Sepp Hochreiter and Ziv Shkedy},
publisher = {Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
address = {Dagstuhl, Germany},
URL = {http://drops.dagstuhl.de/opus/volltexte/2013/4179},
URN = {urn:nbn:de:0030-drops-41791},
doi = {10.4230/DagRep.3.5.78},
annote = {Keywords: Bioinformatics, Chemoinformatics, Machine learning, Statistics, Interdisciplinary applications}
}
| Keywords: | Bioinformatics, Chemoinformatics, Machine learning, Statistics, Interdisciplinary applications | |
| Seminar: | Dagstuhl Reports, Volume 3, Issue 5 | |
| Issue date: | 2013 | |
| Date of publication: | 09.10.2013 |
