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- W4387346426 abstract "The identification and prediction of variation in genetic data can be explored using graph-based machine learning methods. In particular, the comprehension of phenotypic effects at the cellular level is an accelerating research area in pharmacogenomics. Understanding the effect of drugs or disease on the underlying bionetwork could facilitate future drug development and improvement of precision medicine." @default.
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- W4387346426 date "2023-09-03" @default.
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- W4387346426 title "Formulating a method to analyse the differential expression of co-occurrence networks for small-sampled microbiome data" @default.
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- W4387346426 doi "https://doi.org/10.1145/3584371.3612969" @default.
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