affyPLM

affyPLM performs probe-level model fitting and PLM-based quality assessment of Affymetrix GeneChip microarray data to support accurate gene expression analysis.


Key Features:

  • Probe-Level Model Fitting: Implements probe-level models (PLMs) to analyze expression at the individual probe level.
  • PLM-Based Quality Assessment: Provides metrics and diagnostic plots derived from PLM methodologies to identify unwanted variation.
  • Corrupted Chip Identification: Supports classification methods and pseudo-images to detect corrupted or problematic chips.
  • RNA Quality Assessment: Facilitates assessment of RNA quality from formalin-embedded biopsies, laser-micro dissected samples, and single cells.
  • Diagnostic Plot Generation: Produces diagnostic plots and quality metrics for evaluating microarray experiment quality.
  • Compiled-Code Performance: Utilizes compiled code for rapid processing of large Affymetrix GeneChip datasets.

Scientific Applications:

  • Affymetrix GeneChip expression analysis: Enables detailed probe-level investigations to improve accuracy of gene expression measurements.
  • Microarray quality control: Identifies array-level issues and unwanted variation to improve data reliability.
  • Challenging-sample analysis: Assesses RNA quality and array performance for formalin-embedded biopsies, laser-micro dissected samples, and single cells.
  • Large-scale studies: Supports processing and quality assessment in projects with large volumes of microarray data.

Methodology:

Fits probe-level models (PLMs), applies PLM-based quality assessment using metrics and diagnostic plots, detects corrupted chips via classification methods and pseudo-images, and uses compiled code for rapid processing of Affymetrix GeneChip data.

Topics

Collections

Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/16/2018

Operations

Data Inputs & Outputs

Publications

Heber S, Sick B. Quality Assessment of Affymetrix GeneChip Data. OMICS: A Journal of Integrative Biology. 2006;10(3):358-368. doi:10.1089/omi.2006.10.358. PMID:17069513.

Documentation

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