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q-bio.GN2022
Redundancy-aware unsupervised ranking based on game theory -- application to gene enrichment analysis
Chiara Balestra, Carlo Maj, Emmanuel Mueller +1
Gene set collections are a common ground to study the enrichment of genes for specific phenotypic traits. Gene set enrichment analysis aims to identify genes that are over-represen…
cs.LG2022
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data
Chiara Balestra, Florian Huber, Andreas Mayr +1
Not all real-world data are labeled, and when labels are not available, it is often costly to obtain them. Moreover, as many algorithms suffer from the curse of dimensionality, red…