January 21, 2003Open Access

A comparison of normalization methods for high densityoligonucleotide array data based on variance and bias

Read Full Paperexternally

Key Points

Key points are not available for this paper at this time.

Abstract

Additional figures may be found at http://www.stat.berkeley.edu/~bolstad/normalize/index.html

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Cite this study

Bolstad et al. (Tue,) studied this question.

synapsesocial.com/papers/69d92036ea2783c07da3c344 — DOI: https://doi.org/10.1093/bioinformatics/19.2.185

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

R: A Language for Data Analysis and Graphics· 1996 · 10,414 citations
<title>Maximum-likelihood estimation of optimal scaling factors for expression array normalization</title>· 2001 · 92 citations
Modern Applied Statistics with S-Plus Second edition· 1997 · 77 citations
Locally Weighted Regression: An Approach to Regression Analysis by Local Fitting· 1988 · 5,482 citations
Analyzing high-density oligonucleotide gene expression array data· 2000 · 208 citations

Authors

Benjamin M. Bolstad

Cancer Research And Biostatistics

Rafael A. Irizarry

Broad Institute

Magnus Åstrand

AstraZeneca (South Korea)

Journals

Bioinformatics

Actions

Institutions

University of California, Berkeley

Johns Hopkins University

Walter and Eliza Hall Institute of Medical Research

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

A comparison of normalization methods for high densityoligonucleotide array data based on variance and bias

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Also consider

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Also consider