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Article Dans Une Revue Gene Technology Année : 2014

Large scale statistical analysis of GEO datasets

Résumé

The problem addressed here is that of simultaneous treatment of several gene expression datasets, possibly collected under different experimental conditions and/or platforms. Using robust statistics, a large scale statistical analysis has been conducted over $20$ datasets downloaded from the Gene Expression Omnibus repository. The differences between datasets are compared to the variability inside a given dataset. Evidence that meaningful biological information can be extracted by merging different sources is provided.
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Dates et versions

hal-01071784 , version 1 (08-10-2014)

Identifiants

Citer

Bernard Ycart, Konstantina Charmpi, Sophie Rousseaux, Jean-Jacques Fournié. Large scale statistical analysis of GEO datasets. Gene Technology, 2014, 4 (1), pp.113:1-9. ⟨10.4172/2329-6682.1000113⟩. ⟨hal-01071784⟩
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