DeePromoter:使用深度学习的强大启动子预测器
In the field of bioinformatics, the identification of promoter regions is an important research direction. Although many tools for predicting promoter
In the field of bioinformatics, the identification of promoter regions is an important research direction. Although many tools for predicting promoter
数据集是人和小鼠的lncRNA的启动子序列,获自真核启动子数据库(EPD)(考虑到RNA聚合酶通常结合在TSS的上游区域) 在TSS周围采集阳性样品,并含有更多的上游区域。从远离TSS的下游区域采集阴性样品。构建了7个基于序列长度从61到301 bp的数据集,步长为40 bp。对于具有nbp长度的序