Analysis of mutation rates and scientific literature in complex pedigrees, highlighting roles of LLMs and deep learning models.
This week’s recap highlights analysis of human de novo mutation rates from a four-generation pedigree reference, how LLMs internalize scientific literature and citation practices, the py_ped_sim forward pedigree and genetic simulator for complex family pedigree analysis, and a review on predicting gene expression from DNA sequence using deep learning models like Enformer and Borzoi.
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Stephen Turner (2025) studied this question.
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