Detection-theoretic analysis of MatInspector

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...

Full description

Saved in:
Bibliographic Details
Published inIEEE transactions on signal processing Vol. 54; no. 6; pp. 2388 - 2393
Main Author Bajic, I.V.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.06.2006
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Binding sites
Bioinformatics
Communities
Control
Detectors
DNA
Gene expression
Genomics
MatInspector
Neyman-Pearson (NP) detector
Optimization
Sequences
Signal processing
Statistical analysis
Statistics
Testing
transcription factor binding site (TFBS)
Online AccessGet full text

Cover

More Information
Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2006.873739