过渡(遗传学)
DNA甲基化
核苷酸
表观遗传学
DNA
马尔可夫链
基因组
隐马尔可夫模型
计算机科学
计算生物学
算法
人工智能
生物
遗传学
基因
机器学习
基因表达
作者
Wenzhen Fu,Yixin Zhong,Wenzheng Bao,Yi Cao
标识
DOI:10.1007/978-3-030-84529-2_58
摘要
Methylation of DNA N6-methyladenine (6mA) is a type of epigenetic modification that plays an essential role in eukaryotic organisms. It is of great importance to discriminate precisely N6-methyladenine (6mA) in genomes. Based on this, we can recognize its biological functions. As a result, finding a stable method which can identify quickly and precisely is indispensable. In this paper, we have changed the number of sliding windows in the MM-6mAPred, which based on the Markov model. The model identifies 6mA sites through the transition probability between adjacent nucleotides. The results show that the transition probability among adjacent nucleotides is benefit to capture more discriminant sequence information.
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