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StratoMod: predicting sequencing and variant calling errors with interpretable machine learning

Computer Science

StratoMod: predicting sequencing and variant calling errors with interpretable machine learning

N. Dwarshuis, P. Tonner, et al.

Discover StratoMod, an innovative interpretable machine-learning classifier developed by Nathan Dwarshuis, Peter Tonner, Nathan D. Olson, Fritz J. Sedlazeck, Justin Wagner, and Justin M. Zook. This groundbreaking research predicts germline variant calling errors by utilizing genomic context features, revolutionizing the assessment of variant calling accuracy and enhancing identification of clinically relevant variants.

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