marray

marray provides a unified framework for exploratory analysis, quality assessment, and normalization of two-color cDNA microarray fluorescence intensity data.


Key Features:

  • Data model: Object-oriented classes (marrayClasses) represent pre- and post-normalization intensity data across batches and expose marrayRaw and marrayNorm object types.
  • Import utilities: Parsers and data ingestion functions for two-color cDNA microarray intensity datasets.
  • Diagnostic visualizations: Functions for boxplots, scatterplots, MA plots, and spatial color images of spot statistics including foreground/background intensities, log-ratios, and spot area.
  • Normalization algorithms: Robust adaptive location–scale normalization procedures with support for global and print-tip–specific adjustments.
  • Control incorporation and bias correction: Support for incorporation of exogenous control sequences and correction of intensity-dependent dye biases, plate effects, spatial trends, and scanning irregularities.
  • Interoperability: Outputs structured for integration with downstream differential expression and visualization analyses.

Scientific Applications:

  • Exploratory analysis: Visual and numerical exploration of two-color microarray intensity distributions and relationships.
  • Quality assessment: Detection of array-level artifacts such as printing defects, hybridization issues, spatial artifacts, and scanning irregularities.
  • Normalization and bias correction: Removal of dye bias, plate effects, and spatial trends through adaptive location–scale methods and print-tip adjustments.
  • Preprocessing for differential expression: Preparation of normalized intensity data suitable for downstream differential expression and statistical analyses.

Methodology:

Uses an R object-oriented class/method system (marrayClasses) with import utilities; computes diagnostic boxplots, scatterplots, MA plots, and spatial color images of spot statistics; applies robust adaptive location–scale normalization with options for global or print-tip–specific adjustments and incorporation of exogenous control sequences.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/10/2018

Operations

Data Inputs & Outputs

Publications

Dudoit S, Yang JYH. Bioconductor R Packages for Exploratory Analysis and Normalization of cDNA Microarray Data. Statistics for Biology and Health. 2003. doi:10.1007/0-387-21679-0_3.

Documentation

Downloads

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