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STATISTICAL AI FOR ADVANCED DEEP LEARNING AND PROBABILISTIC PROGRAMING IN THE BIOSCIENCES

机译:先进的统计学习技术,可帮助生物科学进行深度学习和概率编程

摘要

Statistical artificial intelligence for advanced deep learning and probabilistic programing in the biosciences is provided. In various embodiments, biological data of a population is read. The biological data include molecular features of the population. A plurality of features of the population is extracted from the biological data. The plurality of features is provided to a first trained classifier to determine a subset of the plurality of features distinguishing the population. A plurality of genes associated with the subset of the plurality of features is determined. The plurality of genes is provided to a second trained classifier to determine a subset of the plurality of genes distinguishing the population. A dependence model is applied to the subset of the plurality of genes to determine one or more drug target.
机译:提供了用于生物科学中的高级深度学习和概率编程的统计人工智能。在各种实施方案中,读取种群的生物学数据。生物学数据包括种群的分子特征。从生物学数据中提取种群的多个特征。所述多个特征被提供给第一训练的分类器以确定所述多个特征中的用于区分总体的子集。确定与多个特征的子集相关的多个基因。将多个基因提供给第二个训练有素的分类器,以确定区分群体的多个基因的子集。将依赖性模型应用于多个基因的子集,以确定一个或多个药物靶标。

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