全基因组基因自动识别的自组织方法
Self-organizing Approach for Automated Gene Identification in Whole Genomes
摘要：
提出了一种基于显式区分编码相位思想的全基因组蛋白质编码区（外显子）识别方法。对于几个基因组，找到了平均GC含量函数和计算密码子频率的最佳窗口长度，提出了基于三联体频率多维空间聚类的自训练方法。为了在三元组必要性空间中实现数据的可视化，应用了弹性映射方法。
英文摘要：
An approach based on using the idea of distinguished coding phase in explicit form for identification of protein-coding regions (exons) in whole genome has been proposed. For several genomes an optimal window length for averaging GC-content function and calculating codon frequencies has been found. Self-training procedure based on clustering in multidimensional space of triplet frequencies is proposed. For visualization of data in the space of triplet requiencies method of elastic maps was applied.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
