Flexible informatics for linking experimental data to mathematical models via DataRail

Saez-rodriguez, J; Goldsipe, A; Muhlich, J; Alexopoulos, L; Millard, B; Lauffenburger, D; Sorger, P

dc.contributor.author	Saez-rodriguez, J	en
dc.contributor.author	Goldsipe, A	en
dc.contributor.author	Muhlich, J	en
dc.contributor.author	Alexopoulos, L	en
dc.contributor.author	Millard, B	en
dc.contributor.author	Lauffenburger, D	en
dc.contributor.author	Sorger, P	en
dc.date.accessioned	2014-03-01T01:56:45Z
dc.date.available	2014-03-01T01:56:45Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/28235
dc.subject	Data Integrity	en
dc.subject	Data Model	en
dc.subject	Experimental Data	en
dc.subject	Information Content	en
dc.subject	Mathematical Model	en
dc.subject	Open Source	en
dc.subject	General Public License	en
dc.subject	Multi Dimensional	en
dc.title	Flexible informatics for linking experimental data to mathematical models via DataRail	en
heal.type	journalArticle	en
heal.identifier.primary	10.1093/bioinformatics/btn018	en
heal.identifier.secondary	http://dx.doi.org/10.1093/bioinformatics/btn018	en
heal.publicationDate	2008	en
heal.abstract	Motivation: Linking experimental data to mathematical models in biology is impeded by the lack of suitable software to manage and transform data. Model calibration would be facilitated and models would increase in value were it possible to preserve links to training data along with a record of all normalization, scaling, and fusion routines used to assemble the training data from	en
heal.journalName	Bioinformatics/computer Applications in The Biosciences	en
dc.identifier.doi	10.1093/bioinformatics/btn018	en