Application of deep learning in genomics

• 作 者: Jianxiao Liu Jiying Li Hai Wang Jianbing Yan
• 机 构: National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070,
• 出 处: 中国科学:生命科学（英文版）
• 发表日期: 2020年12期
• 关键词: deep learning genomics convolutional neural network

In recent years,deep learning has been widely used in diverse fields of research,such as speech recognition,image classification,autonomous driving and natural language processing.Deep learning has showcased dramatically improved performance in complex classification and regression problems,where the intricate structure in the high-dimensional data is difficult to discover using conventional machine learning algorithms.In biology,applications of deep learning are gaining increasing popularity in predicting the structure and function of genomic elements,such as promoters,enhancers,or gene expression levels.In this review paper,we described the basic concepts in machine learning and artificial neural network,followed by elaboration on the workflow of using convolutional neural network in genomics.Then we provided a concise introduction of deep learning applications in genomics and synthetic biology at the levels of DNA,RNA and protein.Finally,we discussed the current challenges and future perspectives of deep learning in genomics.