A bioinformatician applies a machine learning model that correctly identifies gene functions with 92% accuracy. If the model analyzes 2,500 genes, and 1,800 are truly annotated, how many non-annotated genes are incorrectly labeled if total errors are distributed uniformly across false positives and false negatives?

Wed, 06 May 2026 06:20:00 +0000

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