Software
DFP: a Bioconductor package for fuzzy profile identification and gene reduction of microarray data
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* Corresponding author: Florentino Fdez-Riverola riverola@uvigo.es
1 Escuela Superior de Ingeniería Informática, University of Vigo, Edificio Politécnico, Campus Universitario As Lagoas s/n, 32004 Ourense, Spain
2 Departamento de Informática, University of Vigo, Edificio Fundición, Campus As Lagoas-Marcosende, 36310 Vigo, Pontevedra, Spain
3 Escuela Universitaria de Informática, University of Valladolid, Plaza Santa Eulalia, 9-11, 40005 Segovia, Spain
BMC Bioinformatics 2009, 10:37 doi:10.1186/1471-2105-10-37
Published: 29 January 2009Additional files
Additional file 1:
Definition of Gaussian membership functions implemented in the DFP package. The membership functions to linguistic labels are defined in a similar way to the form that has been used by Pal and Mitra (2004) [doi:10.1109/TKDE.2003.1262181]. These authors used a polynomial function that approximates a Gaussian membership function, where its centre and amplitude depend on the mean and on the variability of the available data respectively. The original membership functions are considered symmetric, but, in our work we have considered asymmetric functions for the linguistic labels in the extremes (labels Low and High).
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Additional file 2:
Pseudo code algorithm used to compute the final DFP containing the selected genes. A DFP version of a FP only includes those genes that can serve to differentiate it from the rest of the fuzzy patterns.
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