Similarity - based virtual screening using bayesian inference network for searching chemical database

Similarity - based virtual screening using bayesian inference network for searching chemical database

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Bibliographic Details
Main Author: Mohammed Hasan, Ammar Abdo
Format: Thesis
Published: 2009
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id my-utm-ep.16998
record_format uketd_dc
spelling my-utm-ep.169982021-05-27T04:37:24Z Similarity - based virtual screening using bayesian inference network for searching chemical database 2009-00 Mohammed Hasan, Ammar Abdo 2009-00 Thesis http://eprints.utm.my/id/eprint/16998/ phd doctoral Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Science Komputer dan Sistem Maklumat
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
description
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Mohammed Hasan, Ammar Abdo
spellingShingle Mohammed Hasan, Ammar Abdo
Similarity - based virtual screening using bayesian inference network for searching chemical database
author_facet Mohammed Hasan, Ammar Abdo
author_sort Mohammed Hasan, Ammar Abdo
title Similarity - based virtual screening using bayesian inference network for searching chemical database
title_short Similarity - based virtual screening using bayesian inference network for searching chemical database
title_full Similarity - based virtual screening using bayesian inference network for searching chemical database
title_fullStr Similarity - based virtual screening using bayesian inference network for searching chemical database
title_full_unstemmed Similarity - based virtual screening using bayesian inference network for searching chemical database
title_sort similarity - based virtual screening using bayesian inference network for searching chemical database
granting_institution Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department Faculty of Science Komputer dan Sistem Maklumat
publishDate 2009
_version_ 1747815137170948096

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