DFP: a Bioconductor package for fuzzy profile identification and gene reduction of microarray data
2009
DFP: A New Tool for Gene Selection and Data Reduction
publication
Evidence: moderate
Author Information
Author(s): Glez-Peña Daniel, Álvarez Rodrigo, Díaz Fernando, Fdez-Riverola Florentino
Primary Institution: University of Vigo
Hypothesis
Can fuzzy logic improve gene selection and data reduction in microarray analysis?
Conclusion
DFP effectively reduces irrelevant genes and aids in the interpretation of microarray data.
Supporting Evidence
- DFP integrates with other Bioconductor packages and uses common data structures.
- The software provides visualization tools to aid in interpreting gene expression data.
- DFP has been validated using publicly available datasets.
Takeaway
DFP is a computer program that helps scientists pick important genes from a lot of data, making it easier to understand.
Methodology
The DFP package uses fuzzy logic to discretize gene expression data and select relevant genes.
Limitations
The DFP method does not consider the influence of features in the context of gene interaction networks.
Digital Object Identifier (DOI)
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