Cleaner
Cleaner refines assembly of informative, transcript-specific probe clusters for Affymetrix expression microarrays to improve data quality and reproducibility.
Key Features:
- R-system implementation: Implemented as an R-system software package for analysis of Affymetrix microarray probe data.
- Probe-level expression profile correlation: Uses probe-level expression profile correlation to identify uninformative or flawed probes.
- Probe elimination: Identifies and systematically eliminates problematic probes to enhance data reliability.
- Construction of improved probe sets: Constructs transcript-specific probe clusters and probe sets to increase accuracy and reproducibility.
- Accounting for probe dependence: Incorporates methods that account for dependencies between probes to reduce bias in data interpretation.
- Handling transcript-isoform variability: Implements strategies to mitigate variability arising from transcript-isoform mixtures.
Scientific Applications:
- Affymetrix microarray data improvement: Improves data quality and reproducibility of Affymetrix expression microarray experiments.
- Large-scale gene expression studies: Supports large-scale gene expression analyses requiring precise and reliable probe-level measurements.
- Cross-platform adaptation: Provides an approach that can be adapted to other gene expression profiling technologies beyond Affymetrix microarrays.
Methodology:
Probe-level expression profile correlation to identify and remove uninformative probes; construction of transcript-specific probe clusters/probe sets; methods to account for probe dependence; and strategies to mitigate transcript-isoform variability.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Alvarez MJ, Sumazin P, Rajbhandari P, Califano A. Correlating measurements across samples improves accuracy of large-scale expression profile experiments. Genome Biology. 2009;10(12). doi:10.1186/gb-2009-10-12-r143. PMID:20042104. PMCID:PMC2812950.