Ai Transcriptomics

Research Frontiers in Uncertainty Quantification in Probabilistic Gene Expression Models

Bayesian and ensemble-based approaches for rigorous uncertainty estimation and epistemic confidence assessment in machine learning predictions of gene expression outcomes and regulatory relationships.

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