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  "Title": "Learning Sparse Log-Ratios for Compositional Data",
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  "Description": "In the context of high-throughput genetic data, CoDaCoRe\nidentifies a set of sparse biomarkers that are predictive of a\nresponse variable of interest (Gordon-Rodriguez et al., 2021)\n<doi:10.1093/bioinformatics/btab645>. More generally, CoDaCoRe\ncan be applied to any regression problem where the independent\nvariable is Compositional (CoDa), to derive a set of\nscale-invariant log-ratios (ILR or SLR) that are maximally\nassociated to a dependent variable.",
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