期刊
JOURNAL OF COMPUTATIONAL BIOLOGY
卷 12, 期 6, 页码 894-906出版社
MARY ANN LIEBERT, INC
DOI: 10.1089/cmb.2005.12.894
关键词
permuted variable length Markov models; maximal dependence decomposition models; weight matrix models; model selection; DNA motifs
Many short DNA motifs, such as transcription factor binding sites (TFBS) and splice sites, exhibit strong local as well as nonlocal dependence. We introduce permuted variable length Markov models (PVLMM) which could capture the potentially important dependencies among positions and apply them to the problem of detecting splice and TFB sites. They have been satisfactory from the viewpoint of prediction performance and also give ready biological interpretations of the sequence dependence observed. The issue of model selection is also studied.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据