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Connected with genomic features like gene phrase, methylation, and genotypes, utilized in statistical modeling of health results, discover a rich-set of meta-features like useful annotations, path information, and understanding from previous researches, which can be used post-hoc to facilitate the interpretation of a model. However, applying this meta-feature information a-priori in place of post-hoc can yield improved forecast performance along with improved design interpretation. We sug
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