Detection-theoretic analysis of MatInspector

被引：2

作者：

Bajic, Ivan V. ^{[1
]}

机构：

[1] Univ Miami, Dept Elect & Comp Engn, Coral Gables, FL 33146 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 2006年 / 54卷 / 06期

关键词：

MatInspector; Neyman-Pearson (NP) detector; transcription factor binding site (TFBS);

D O I：

10.1109/TSP.2006.873739

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The goal of this paper is twofold. First, we wish to raise awareness in the signal processing community of research problems related to transcription factor binding site (TFBS) finding. This class of problems is important in the study of gene expression and regulation and is similar to the problems studied in statistical signal processing and detection theory. Second, we analyze one of the very popular tools for TFBS finding-MatInspector-from a detection-theoretic viewpoint. They show that MatInspector's test statistic is suboptimal, but its performance is reasonably close to that of the optimal Neyman-Pearson detector.

引用

页码：2388 / 2393

页数：6

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