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Interpretation of gene and genomic variants via integrated computing and experimental deep mutation learning frameworks

机译:通过集成计算和实验性深层突变学习框架解释基因和基因组变体

摘要

Disclosed herein are embodiments of systems, methods, and computer program products for determining the phenotypic effects of identified molecular variants in a biological sample. Embodiments include receiving a molecular variant associated with a functional element within the model system. Embodiments then determine a molecular score associated with the model system. Embodiments then determine molecular and population signals associated with molecular variants based on the molecular score. Embodiments then determine a functional score for the molecular variant based on statistical learning. Embodiments then derive an evidence score for the molecular variant based on the functional score. Embodiments then determine the phenotypic effect of the molecular variant based on the functional score or evidence score.
机译:本文公开了用于确定生物样品中已鉴定的分子变体的表型效应的系统,方法和计算机程序产品的实施方案。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联的分子评分。实施方案然后基于分子得分确定与分子变体相关的分子和种群信号。实施方案然后基于统计学习确定分子变体的功能评分。实施方案然后基于功能得分得出分子变体的证据得分。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作用。

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