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Master Thesis

Quantication Vectorielle Algébrique et Arborescente pour l'analyse de données moléculaires

Abstract : We introduce a novel simplification scheme of molecular data using Tree-Structured Lattice Vector Quantization (TSLVQ). The method, based on the embedding of truncated lattices, permits also hierarchical description of the 3D volume through a tree-structure. We apply TSLVQ to simplify the electron densities maps of three thrombin inhibitors (MQPA, NAPAP, 4-TAPAP).
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Master Thesis
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https://dumas.ccsd.cnrs.fr/dumas-01076788
Contributor : Cnam - Service Commun de la Documentation - Bibliothèque Centrale <>
Submitted on : Thursday, October 23, 2014 - 10:56:21 AM
Last modification on : Monday, October 19, 2020 - 11:05:42 AM
Long-term archiving on: : Friday, April 14, 2017 - 11:44:08 AM

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2011.TH18202.Cedric.Ramassamy....
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  • HAL Id : dumas-01076788, version 1

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Cédric Ramassamy. Quantication Vectorielle Algébrique et Arborescente pour l'analyse de données moléculaires. Informatique [cs]. 2011. ⟨dumas-01076788⟩

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