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Inhaltsangabe
Validation is the process by which the reliability and relevance of a procedure are established for a specific purpose. However, it is now being accepted that validation is a more holistic process that includes assessment of issues such as data quality, applicability of the model, and mechanistic interpretability in addition to statistical assessment. The validation strategies check the reliability of the developed models for their possible application on a new set of data, and confidence of prediction can thus be judged. In the QSAR community, the validation of a model is little more than an assessment of statistical fit, and occasionally predictivity using cross-validation techniques Validation is a crucial aspect of any quantitative structure–activity relationship (QSAR) modeling. This book provides a brief overview about various techniques of validation used in QSAR modeling.
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Validation is the process by which the reliability and relevance of a procedure are established for a specific purpose. However, it is now being accepted that validation is a more holistic process that includes assessment of issues such as data quality, applicability of the model, and mechanistic interpretability in addition to statistical assessment. The validation strategies check the reliability of the developed models for their possible application on a new set of data, and confidence of prediction can thus be judged. In the QSAR community, the validation of a model is little more than an assessment of statistical fit, and occasionally predictivity using cross-validation techniques Validation is a crucial aspect of any quantitative structure–activity relationship (QSAR) modeling. This book provides a brief overview about various techniques of validation used in QSAR modeling.
Biografía del autor
Dr Supratim Ray is working as an Associate Professor and Head, Department of Pharmaceutical Sciences, Assam University, Silchar, India. Dr Partha Pratim Roy is working as an Assistant professor, SLT Institute of Pharmaceutical Sciences, Guru Ghasidas Vishwavidyalaya, Bilaspur, India.Presently both are working on QSAR /QSPR/ QSTR modeling.
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- VerlagLAP LAMBERT Academic Publishing
- Erscheinungsdatum2016
- ISBN 10 3659904120
- ISBN 13 9783659904127
- EinbandTapa blanda
- SpracheEnglisch
- Anzahl der Seiten72
- Kontakt zum HerstellerNicht verfügbar
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Validation of QSAR model: An Overview
Verlag:
LAP LAMBERT Academic Publishing Jul 2016, 2016
ISBN 10: 3659904120
ISBN 13: 9783659904127
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -Validation is the process by which the reliability and relevance of a procedure are established for a specific purpose. However, it is now being accepted that validation is a more holistic process that includes assessment of issues such as data quality, applicability of the model, and mechanistic interpretability in addition to statistical assessment. The validation strategies check the reliability of the developed models for their possible application on a new set of data, and confidence of prediction can thus be judged. In the QSAR community, the validation of a model is little more than an assessment of statistical fit, and occasionally predictivity using cross-validation techniques Validation is a crucial aspect of any quantitative structure¿activity relationship (QSAR) modeling. This book provides a brief overview about various techniques of validation used in QSAR modeling.Books on Demand GmbH, Überseering 33, 22297 Hamburg 72 pp. Englisch. Artikel-Nr. 9783659904127
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Validation of QSAR model: An Overview: Role of validation in QSAR
Verlag:
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 3659904120
ISBN 13: 9783659904127
Neu
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Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
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Paperback. Zustand: Brand New. 72 pages. 8.66x5.91x0.17 inches. In Stock. Artikel-Nr. 3659904120
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