启动子是基因表达调控的重要元件，深入研究启动子的结构和功能，是理解基因转录调控机制和表达模式的关键。DNA启动子分类和DNA甲基化已成为当前生物学和药理学研究热点问题，但通过生物实验方法确定这些信息存在很多问题，如成本高、周期长。随着生物技术和信息技术的发展，高通量测序数据的出现使得获取不同尺度、不同层面的多源生物信息成为可能。本项目将融合不同位置碱基的相互影响、碱基对的物理化学属性关系、序列遗传进化信息以及抽取高通量测序数据在基因转录起始位点附近的分布信息，利用基于序列本身的非平衡采样技术、特征选择策略，基于DNA离散灰色模型、模糊K近邻、支持向量机等模式识别算法所提供的有一定差异性和准确度集成学习所需的个体互补信息进一步提高融合决策的精度，建立在线启动子模式识别和其甲基化预测软件系统及数据库。项目的研究有助于推进不平衡生物数据挖掘技术的发展和为更好地构建基因调控网络奠定基础。

Promoters are important elements in regulation of the expression. To study the structure and function of a promoter deeply, it is the key to know the gene regulates its transcription and starts its expression. How to predict promoter classes and the DNA methylation site have become the focus of current biological and pharmacological, but there are many problems to determine these information through biological experimental methods, such as high cost, long cycle. With the fast development of biological and information technology, it is possible to make access to different scales and different levels of multi-source biological information based on high-throughput data. The project coordinate utilization of the information reflecting the interaction of the different positions of nucleotide, reflecting the physical and chemical properties of dinucleotides, reflecting the DNA sequence phylogenetic information and the high-throughput sequencing data, combining with the imbalance resample technique based on sequence and feature selection strategy, based on the complementary information provided by the DNA discrete gray model, fuzzy K-nearest neighbor, support vector machine and other pattern recognition algorithms generated the diverse and accurate component learners to further improve the accuracy of the integration of decision-making. We will develop online software system to identify promoter modes and DNA promoter methylation sites then create a database of complete genome annotation of promoters. These researches might promote the development of pattern recognition techniques on imbalanced datasets in bioinformatics and lay the foundation for the construction of a better regulatory network.