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BoostMe accurately predicts DNA methylation values in whole-genome bisulfite sequencing of multiple human tissues
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Bisulfite sequencing is widely employed to study the role of DNA methylation in disease; however, the data suffer from biases due to coverage depth variability. Imputation of methylation values at low-coverage sites may mitigate these biases while also identifying important genomic features associated with predictive power.
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