Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors

Detalles Bibliográficos
Autores principales: Fechner, NH, Hinselmann, G, Schmiedl, C, Zell, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Poster Presentation
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235223/
http://dx.doi.org/10.1186/1752-153X-2-S1-P2
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author Fechner, NH
Hinselmann, G
Schmiedl, C
Zell, Andreas
author_facet Fechner, NH
Hinselmann, G
Schmiedl, C
Zell, Andreas
author_sort Fechner, NH
collection PubMed
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spelling pubmed-42352232014-11-19 Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors Fechner, NH Hinselmann, G Schmiedl, C Zell, Andreas Chem Cent J Poster Presentation BioMed Central 2008-03-26 /pmc/articles/PMC4235223/ http://dx.doi.org/10.1186/1752-153X-2-S1-P2 Text en Copyright © 2008 Fechner et al.
spellingShingle Poster Presentation
Fechner, NH
Hinselmann, G
Schmiedl, C
Zell, Andreas
Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors
title Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors
title_full Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors
title_fullStr Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors
title_full_unstemmed Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors
title_short Estimating the applicability domain of kernel based QSPR models using classical descriptor vectors
title_sort estimating the applicability domain of kernel based qspr models using classical descriptor vectors
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4235223/
http://dx.doi.org/10.1186/1752-153X-2-S1-P2
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