Critical Assessment of Microarray Data Analysis: the 2001 challenge

We initiated the Critical Assessment of Microarray Data Analysis (CAMDA) conference to stimulate and evaluate the development of advanced data analysis techniques for microarrays. A standard data set has been released for this data analysis challenge. The goal of this challenge is to assess the perf...

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Bibliographic Details
Published in:Bioinformatics 2001-09, Vol.17 (9), p.857-858
Main Authors: Johnson, Kimberly F., Lin, Simon M.
Format: Article
Language:English
Subjects:
Biological and medical sciences
Computational Biology - methods
Computational Biology - trends
Databases, Genetic
Fundamental and applied biological sciences. Psychology
Gene Expression Profiling - methods
Gene Expression Profiling - trends
General aspects
Mathematics in biology. Statistical analysis. Models. Metrology. Data processing in biology (general aspects)
Oligonucleotide Array Sequence Analysis - methods
Oligonucleotide Array Sequence Analysis - trends
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Summary:We initiated the Critical Assessment of Microarray Data Analysis (CAMDA) conference to stimulate and evaluate the development of advanced data analysis techniques for microarrays. A standard data set has been released for this data analysis challenge. The goal of this challenge is to assess the performance of different analytical methods and at the same time to determine how such methods should be evaluated. We hope this effort will catalyze the discussion of microarray data analysis among the research community of biologists, statisticians, mathematicians, and computer scientists. Availability: http://camda.duke.edu Contact: camda01@canctr.mc.duke.edu; * To whom correspondence should be addressed.
ISSN:1367-4803
1460-2059
1367-4811
DOI:10.1093/bioinformatics/17.9.857