Machine learning approach in pharmacokinetics and toxicity prediction

Ph.D

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Main Author: YAP CHUN WEI
Other Authors: PHARMACY
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/15669
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Institution: National University of Singapore
Language: English
id sg-nus-scholar.10635-15669
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spelling sg-nus-scholar.10635-156692015-01-08T22:50:43Z Machine learning approach in pharmacokinetics and toxicity prediction YAP CHUN WEI PHARMACY CHEN YU ZONG machine learning, pharmacokinetics, support vector machine, general regression neural network, ADMET, QSPkR Ph.D DOCTOR OF PHILOSOPHY 2010-04-08T10:56:03Z 2010-04-08T10:56:03Z 2006-12-14 Thesis YAP CHUN WEI (2006-12-14). Machine learning approach in pharmacokinetics and toxicity prediction. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/15669 NOT_IN_WOS en
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic machine learning, pharmacokinetics, support vector machine, general regression neural network, ADMET, QSPkR
spellingShingle machine learning, pharmacokinetics, support vector machine, general regression neural network, ADMET, QSPkR
YAP CHUN WEI
Machine learning approach in pharmacokinetics and toxicity prediction
description Ph.D
author2 PHARMACY
author_facet PHARMACY
YAP CHUN WEI
format Theses and Dissertations
author YAP CHUN WEI
author_sort YAP CHUN WEI
title Machine learning approach in pharmacokinetics and toxicity prediction
title_short Machine learning approach in pharmacokinetics and toxicity prediction
title_full Machine learning approach in pharmacokinetics and toxicity prediction
title_fullStr Machine learning approach in pharmacokinetics and toxicity prediction
title_full_unstemmed Machine learning approach in pharmacokinetics and toxicity prediction
title_sort machine learning approach in pharmacokinetics and toxicity prediction
publishDate 2010
url http://scholarbank.nus.edu.sg/handle/10635/15669
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