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OLOGRAM-MODL: mining enriched n-wise combinations of genomic features with Monte Carlo and dictionary learning
2021
NAR Genomics and Bioinformatics
Most epigenetic marks, such as Transcriptional Regulators or histone marks, are biological objects known to work together in n-wise complexes. A suitable way to infer such functional associations between them is to study the overlaps of the corresponding genomic regions. However, the problem of the statistical significance of n-wise overlaps of genomic features is seldom tackled, which prevent rigorous studies of n-wise interactions. We introduce OLOGRAM-MODL, which considers overlaps between n
doi:10.1093/nargab/lqab114
pmid:34988437
pmcid:PMC8693575
fatcat:dljyvm6mrrarnfn7grom54g73m