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Systems and Methods for the Interpretation of Genetic and Genomic Variants via an Integrated Computational and Experimental Deep Mutational Learning Framework

机译:通过综合的计算和实验性深层突变学习框架解释遗传和基因组变异的系统和方法

摘要

Disclosed herein are system, method, and computer program product embodiments for determining phenotypic impacts of molecular variants identified within a biological sample. Embodiments include receiving molecular variants associated with functional elements within a model system. The embodiments then determine molecular scores associated with the model system. The embodiments then determine molecular signals and population signals associated with the molecular variants based on the molecular scores. The embodiments then determine functional scores for the molecular variants based on statistical learning. The embodiments then derive evidence scores of the molecular variants based on the functional scores. The embodiments then determine phenotypic impacts of the molecular variants based on the functional scores or evidence scores.
机译:本文公开了用于确定生物样品中鉴定的分子变体的表型影响的系统,方法和计算机程序产品实施方案。实施例包括接收与模型系统内的功能元件相关的分子变体。实施例然后确定与模型系统相关的分子分数。实施例然后基于分子分数确定与分子变体相关的分子信号和群体信号。实施方案然后基于统计学习确定分子变体的功能评分。实施例然后基于功能分数得出分子变体的证据分数。实施方案然后基于功能评分或证据评分确定分子变体的表型影响。

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