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The Global Error Assessment (GEA) model for the selection of differentially expressed genes in microarray data
Mansourian, R., Mutch, D. M., Antille, N., Aubert, J., Fogel, P., Le Goff, J.-M., Moulin, J., Petrov, A., Rytz, A., Voegel, J. J., Roberts, M.-A.Volume:
20
Language:
english
Journal:
Bioinformatics
DOI:
10.1093/bioinformatics/bth319
Date:
November, 2004
File:
PDF, 225 KB
english, 2004