Une variante des tests de sphéricité pour l'adéquation de données transcriptomiques à un graphe de régulations génétiques
Résumé
When analyzing genomic data, the researcher often encounters the situation where different genetic regulation graphs can be determined on the same dataset with several genetic regulation graph inference methods. One graph is very often compared to another with the help of databases gathering already known interactions between genes: the more known interactions an inferred graph contains, the better it is considered as. We propose a different approach, adapted from the theory of tests, to determine whether a graph fits the dataset.
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