Bae Seung-Hee, Tang Haixu, Wu Jing, Xie Jun, Kim Sun
Department of Computer Science, Indiana University - Bloomington, IN 47404, USA.
Bioinformatics. 2007 Oct 1;23(19):2619-21. doi: 10.1093/bioinformatics/btm288. Epub 2007 Jun 5.
Transcription factor binding sites (TFBSs) are typically short in length, thus search with a profile model from known TFBSs produces many false positives. When combined with additional information, gene expression data in this article, sensitivity and specificity of TFBS search can be improved significantly.
By modifying our previous REFINEMENT approach, we developed dPattern that searches for occurrences of TFBSs in the promotor regions of up/down regulated or random genes.
转录因子结合位点（TFBSs）通常长度较短，因此使用来自已知TFBSs的轮廓模型进行搜索会产生许多假阳性结果。当与其他信息（本文中的基因表达数据）相结合时，TFBS搜索的敏感性和特异性可以显著提高。
通过改进我们之前的REFINEMENT方法，我们开发了dPattern，用于在上调/下调基因或随机基因的启动子区域中搜索TFBSs的出现情况。
