Significance Analysis of Microarrays (SAM) using Matlab

Version 1.1.0.0 (385 ko) par Eric
SAM is a popular method of finding differentially expressed genes through a microarray experiment.
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Mise à jour 27 août 2013

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In BioInformatics, one of the goal of a microarray experiment can be of finding those genes which are up-regulated or/and down-regulated. SAM is a method suggested by Tusher et al.(2001) achieving that goal, and has two implementation in the R programming language. Since SAM is not yet implemented in Matlab, we provide its first implementation based on the BioConductor project library siggenes, thanks to Holger Schwender (2012) for his permission.

To see extended explanation of the proposed implementation, please see the demo file "SAM_demo.m".

References.

Virginia Goss Tusher, Robert Tibshirani, Gilbert Chu (2001). Significance analysis of microarrays applied to the ionizing radiation response. Proceedings of the National Academy of Sciences 98(9): 5116-5121.

Holger SCHWENDER (2012). siggenes : Multiple testing using SAM and Efron's empirical Bayes approaches. R package version 1.32.0.

Citation pour cette source

Eric (2024). Significance Analysis of Microarrays (SAM) using Matlab (https://www.mathworks.com/matlabcentral/fileexchange/42346-significance-analysis-of-microarrays-sam-using-matlab), MATLAB Central File Exchange. Récupéré le .

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Créé avec R2012b
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significance_analysis_of_microarrays__matlab_v_1.0/significance_analysis_of_microarrays__matlab_v-1.0/

Version Publié le Notes de version
1.1.0.0

SAM_demo.m is updated to automatically create results' destination folder
1.0.0.0