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ESTIMATION OF PHENOTYPES USING DNA, PEDIGREE, AND HISTORICAL DATA

机译:使用DNA,谱系和历史数据估算表型

摘要

Disclosed are techniques for predicting a trait of an individual and identifying a set of enriched record collections of a genetic community. To predict a trait of an individual, DNA features and non-DNA features of the individual are accessed to generate a feature vector that is inputted into a machine learning model. The machine learning model generates a prediction of the trait. The prediction may be based on an inheritance prediction and/or a community prediction. To identify a set of enriched record collections, individuals belonging to a genetic community are identified and a set of candidate record collections are accessed. A community count and a background count is determined for each candidate record collection. The set of enriched record collections are identified based on a comparison of the community count and the background count. The genetic community may be annotated using the set of enriched record collections.
机译:公开了用于预测个人特征的技术,并鉴定遗传群体的一组富集的记录收集。为了预测个体的特征,访问各个的DNA特征和非DNA特征,以产生输入到机器学习模型中的特征向量。机器学习模型产生特征的预测。预测可以基于继承预测和/或社区预测。为了识别一组丰富的记录集合,确定了属于遗传群落的个体,并访问一组候选记录集合。针对每个候选记录集合确定社区计数和背景计数。基于社区计数和背景计数的比较来确定一组富集的记录集合。遗传群体可以使用一组丰富的记录集合注释。

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