DMFS pipeline recovery of previously identified motifs.

Here we list motifs identified by Tillo and Hughes [48] and Lee et al.[49] and the number of times these motifs were identified by the DMFS pipeline. Structure related features are omitted, as are transcription binding start sites and features with zero weights. We ran the DMFS pipeline 40 times, with random data partitioning, and counted the number of times each previously identified motif occurred. According to Tillo and Hughes the most discriminative motif is the 4-mer AAAA/TTTT, which emerged in almost every run.本文列出了由Tillo与Hughes[48]以及Lee等人[49]所鉴定的基序（motif），以及DMFS流程鉴定出这些基序的次数。与结构相关的特征、转录结合起始位点以及权重为0的特征均被剔除。我们对DMFS流程进行了40次运行，每次均采用随机数据划分方式，并统计了每一个此前已鉴定的基序出现的次数。根据Tillo与Hughes的研究，最具判别能力的基序为4聚体AAAA/TTTT，该基序在几乎所有运行中均被检出。