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cDNA Microarray Analysis

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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:
Package/Module
Restrictions to use:
None
Programming languages:
R
Stability:
Beta
Interface:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Maintained:
Yes

cDNA Microarray Analysis distribution

versioning

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cDNA Microarray Analysis support

Maintainer

  • Wing Hung Wong <>

Credits

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Publications

Institution(s)

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

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.