Une variante des tests de sphéricité pour l'adéquation de données transcriptomiques à un graphe de régulations génétiques
Abstract
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.
Domains
Mathematics [math] Statistics [math.ST] Statistics [stat] Statistics Theory [stat.TH] Engineering Sciences [physics] Signal and Image processing Life Sciences [q-bio] Quantitative Methods [q-bio.QM] Computer Science [cs] Bioinformatics [q-bio.QM] Statistics [stat] Applications [stat.AP] Computer Science [cs] Signal and Image Processing
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