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cDNA Microarray Analysis


Assess the significance of gene effects in comparative experiments. cDNA Microarray Analysis is based on a hierarchical model that incorporates several levels of variations. A version of empirical Bayes procedure is used. Markov chain Monte Carlo (MCMC) simulation is then used to generate the posterior distribution. The program provides a browser interface to implement methods described in the paper.

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cDNA Microarray Analysis classification

cDNA Microarray Analysis specifications

Software type:
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Programming languages:
Command line interface
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Unix/Linux, Mac OS, Windows
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cDNA Microarray Analysis distribution


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cDNA Microarray Analysis support


  • Wing Hung Wong <>


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Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA; Department of Chemical Engineering, University of California at Los Angeles, Los Angeles, CA, USA; Department of Statistics, Harvard University, Cambridge, MA, USA

Funding source(s)

Supported by NSF grant BES-9911718,NIST grant 70NANBOH0064, NIH grant 1R01HG02340-01 and NSF grant DBI-9904701.

Link to literature

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