论文标题
深神经网络：一种高效且优化的机器学习范式，用于减少基因组测序误差
Deep Neural Network: An Efficient and Optimized Machine Learning Paradigm for Reducing Genome Sequencing Error
论文作者
论文摘要
我在许多领域使用的基因组数据，但是，已经知道测序过程中使用的大多数平台会产生重大错误。这意味着从这些数据产生的分析和推论可能需要纠正一些错误。在两种主要类型的基因组错误（替代和indels）上，我们的工作集中在纠正indels上。深度学习方法用于纠正对所选数据集进行排序的错误
Genomic data I used in many fields but, it has become known that most of the platforms used in the sequencing process produce significant errors. This means that the analysis and inferences generated from these data may have some errors that need to be corrected. On the two main types of genome errors - substitution and indels - our work is focused on correcting indels. A deep learning approach was used to correct the errors in sequencing the chosen dataset
