Data analysis and navigation in high-dimensional chemical and biological spaces
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2099.1/16449
Tutor / directorRallo Moya, Robert
Tipus de documentProjecte Final de Màster Oficial
Data2012-09
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Descripció
The goal of this master thesis is to develop and validate a visual data-mining
approach suitable for the screening of chemicals in the context of REACH [Registration, Evaluation, Authorization and
Restriction of Chemicals]. The
proposed approach will facilitate the development and validation of non-testing
methods via the exploration of environmental endpoints and their relationship with
the chemical structure and physicochemical properties of chemicals.
The use of an interactive chemical space data exploration tool using 3D visualization
and navigation will enrich the information available with additional variables like
size, texture and color of the objects of the scene (compounds). The features that
distinguish this approach and make it unique are (i) the integration of multiple data
sources allowing the recovery in real time of complementary information of the
studied compounds, (ii) the integration of several algorithms for the data analysis
(dimensional reduction, generation of composite variables and clustering) and (iii)
direct user interaction with the data through the virtual navigation mechanism. All
this is achieved without the need for specialized hardware or the use of specific
devices and high-cost virtual reality and mixed reality.
TitulacióMÀSTER UNIVERSITARI EN INTEL·LIGÈNCIA ARTIFICIAL (Pla 2009)
Col·leccions
Fitxers | Descripció | Mida | Format | Visualitza |
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JosepCester.pdf | 3,103Mb | Visualitza/Obre |