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METHOD FOR DEEP LEARNING-BASED BIOMARKER DISCOVERY WITH CONVERSION DATA OF GENOME SEQUENCES
METHOD FOR DEEP LEARNING-BASED BIOMARKER DISCOVERY WITH CONVERSION DATA OF GENOME SEQUENCES
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机译:基因组序列转换数据的深度学习生物标记发现方法
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摘要
A method of detecting biomarkers using an artificial intelligence (AI) deep learning model for conversion data of nucleotide sequences and mutations of population genomes, the method including: collecting nucleotide sequences and mutations of population genomes; generating conversion data by reflecting mutations of diploid genomes in the collected nucleotide sequences; performing an artificial intelligence (AI) deep learning model with the generated conversion data; generating a fully connected network (FCN) by connecting the results obtained by the machine learning; and extracting biomarkers by the learned model.
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