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SYSTEM AND METHOD FOR PROMOTER PREDICTION IN HUMAN GENOME

机译:人类基因组启动子预测的系统和方法

摘要

A method for training a deep neural network model based on a known genome sequence includes receiving the known genome sequence; training the deep neural network model with a current negative set obtained from the known genome sequence; applying the deep neural network model to the known genome sequence and recording false positive sets; selecting a subset of the new false positive sets; updating the current negative set with the new false positive sets; and repeating the steps of training, applying, selecting and updating until a number of the new false positive sets is smaller than a given threshold.
机译:一种用于训练基于已知基因组序列的深神经网络模型的方法包括接受已知的基因组序列; 用从已知基因组序列获得的电流负集进行训练深神经网络模型; 将深神经网络模型应用于已知的基因组序列并记录误报; 选择新的误报集的子集; 使用新的假正集更新当前负集合; 并重复培训,应用,选择和更新的步骤,直到多个新的误报集小于给定阈值。

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