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.

Documentation

Links