A framework for oligonucleotide microarray preprocessing
Johns Hopkins University · University of Cambridge
Abstract
MOTIVATION: The availability of flexible open source software for the analysis of gene expression raw level data has greatly facilitated the development of widely used preprocessing methods for these technologies. However, the expansion of microarray applications has exposed the limitation of existing tools. RESULTS: We developed the oligo package to provide a more general solution that supports a wide range of applications. The package is based on the BioConductor principles of transparency, reproducibility and efficiency of development. It extends the existing tools and leverages existing code for visualization, accessing data and widely used preprocessing routines. The oligo package implements a unified…
Citation impact
- FWCI
- 7.89
- Percentile
- 100%
- References
- 17
Authors
2Topics & keywords
- Bioconductor
- Preprocessor
- Computer science
- Software
- R package
- Data mining
- Visualization
- Source code
- Industry, innovation and infrastructure