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XYLab: an interactive plotting tool for mixed multivariate data observation and interpretation

The correct display of data is often a key point for interpreting the results of experimental procedures. Multivariate data sets suffer from the problem of representation, since a dimensionality above 3 is beyond the capability of plotting programs. Moreover, non numerical variables such as protein...

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Detalles Bibliográficos
Autores principales: Ramazzotti, Matteo, Monsellier, Elodie, Degl'Innocenti, Donatella
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2533058/
https://www.ncbi.nlm.nih.gov/pubmed/18795112
Descripción
Sumario:The correct display of data is often a key point for interpreting the results of experimental procedures. Multivariate data sets suffer from the problem of representation, since a dimensionality above 3 is beyond the capability of plotting programs. Moreover, non numerical variables such as protein annotations are usually fundamental for a full comprehension of biological data. Here we present a novel interactive XY plotter designed to take the full control of large datasets containing mixed-type variables, provided with an intuitive data management, a powerful labelling system and other features aimed at facilitating data interpretation and sub-setting. AVAILABILITY: XYLab program, test dataset and manual is available at www4.unifi.it/scibio/bioinfo/ XYLab.html.