VERA & SAM 1.0 – Find Significant Expression Differences in DNA Microarray Data

VERA & SAM 1.0

:: DESCRIPTION

VERA¬†& SAM (Variability and ERror Assessment and Significance of Array Measurement) Estimates error model parameters from replicated, preprocessed experiments, and ¬†uses error model to improve the accuracy of the expression ratio and to assign a value ‘lambda’ to each gene, indicating the likelihood that the gene is differentially expressed.

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VERA and SAM are a pair of programs that provide a method to determine whether any given gene is expressed at a different level in one cell population than in another according to microarray data.

::DEVELOPER

the Ideker Lab

:: SCREENSHOTS

:: REQUIREMENTS

  • Linux / Windows

:: DOWNLOAD

VERA & SAM

:: MORE INFORMATION

Citation

T. Ideker, V. Thorsson, A. F. Siegel, and L. Hood.
Testing for differentially-expressed genes by maximum-likelihood analysis of microarray data
Journal of Computational Biology 7 (6) 805-817 (2000).

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