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Lattice Vector Quantization for the Analysis of Molecular Data.

Cédric Ramassamy 1 Vincent Ricordel 1, * Oana Cramariuc 2 Bogdan Cramariuc 3
* Corresponding author
1 irccyn-ivc
IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
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 3-D 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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Submitted on : Friday, September 16, 2011 - 11:59:14 AM
Last modification on : Tuesday, September 21, 2021 - 4:12:14 PM
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Cédric Ramassamy, Vincent Ricordel, Oana Cramariuc, Bogdan Cramariuc. Lattice Vector Quantization for the Analysis of Molecular Data.. Signal Processing and Applied Mathemathematics for Electronics and Communications (SPAMEC)., Aug 2011, Cluj-Napoca, Romania. ⟨hal-00624283⟩



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