INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDS
A new internal cross-validation method is presented for assessing the true predictive capability of QSAR models. The test is general and can be applied in many QSAR/QSPR approaches. In this work, the method is tested on a well-known benchmark set of steroids. In order to make the calculations, Topol...
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Sociedad Chilena de Química
2008
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oai:scielo:S0717-970720080003000052008-10-23INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDSBESALÚ,EMILIVERA,LEONEL benchmark steroids cross-validation predictions internal test set method statistical validation topological quantum similarity indexes A new internal cross-validation method is presented for assessing the true predictive capability of QSAR models. The test is general and can be applied in many QSAR/QSPR approaches. In this work, the method is tested on a well-known benchmark set of steroids. In order to make the calculations, Topological Quantum Similarity índices and Múltiple Linear Regression models were consideredinfo:eu-repo/semantics/openAccessSociedad Chilena de QuímicaJournal of the Chilean Chemical Society v.53 n.3 20082008-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072008000300005en10.4067/S0717-97072008000300005 |
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Scielo Chile |
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Scielo Chile |
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English |
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benchmark steroids cross-validation predictions internal test set method statistical validation topological quantum similarity indexes |
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benchmark steroids cross-validation predictions internal test set method statistical validation topological quantum similarity indexes BESALÚ,EMILI VERA,LEONEL INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDS |
description |
A new internal cross-validation method is presented for assessing the true predictive capability of QSAR models. The test is general and can be applied in many QSAR/QSPR approaches. In this work, the method is tested on a well-known benchmark set of steroids. In order to make the calculations, Topological Quantum Similarity índices and Múltiple Linear Regression models were considered |
author |
BESALÚ,EMILI VERA,LEONEL |
author_facet |
BESALÚ,EMILI VERA,LEONEL |
author_sort |
BESALÚ,EMILI |
title |
INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDS |
title_short |
INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDS |
title_full |
INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDS |
title_fullStr |
INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDS |
title_full_unstemmed |
INTERNAL TEST SET (ITS) METHOD: A NEW CROSS-VALIDATION TECHNIQUE TO ASSESS THE PREDICTIVE CAPABILITY OF QSAR MODELS. APPLICATION TO A BENCHMARK SET OF STEROIDS |
title_sort |
internal test set (its) method: a new cross-validation technique to assess the predictive capability of qsar models. application to a benchmark set of steroids |
publisher |
Sociedad Chilena de Química |
publishDate |
2008 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072008000300005 |
work_keys_str_mv |
AT besaluemili internaltestsetitsmethodanewcrossvalidationtechniquetoassessthepredictivecapabilityofqsarmodelsapplicationtoabenchmarksetofsteroids AT veraleonel internaltestsetitsmethodanewcrossvalidationtechniquetoassessthepredictivecapabilityofqsarmodelsapplicationtoabenchmarksetofsteroids |
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1718445389932134400 |