Name
Title | ||
|---|---|---|
A new approach to the assessment of the quality of predictions of transcription factor binding sites. |
Abstract | ||
|---|---|---|
In this paper, we describe a novel method called Secondary Verification which assesses the quality of predictions of transcription factor binding sites. This method incorporates a distribution of prediction scores over positive examples (i.e. the actual binding sites) and is shown to be superior to p-value, routinely used statistical significance assessment, which uses only a distribution of prediction scores over background sequences. We also discuss how to integrate both distributions into a framework called Secondary Verification Assessment method which evaluates the quality of a model of a transcription factor. Based on that we create a hybrid representation of a transcription factor: we select the description (with or without dependencies) which is best for the transcription factor considered. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.jbi.2006.07.001 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
actual binding site,statistical significance,novel method,secondary verification,binding site,model assessment,mixture of pssms,positive example,predicting binding sites,secondary verification assessment method,hybrid representation,transcription factor,new approach,prediction score,modeling dependencies,motif finding,background sequence,transcription factor binding site | Sequence alignment,Data mining,Binding site,DNA binding site,Computer science,Transcription factor | Journal |
Volume | Issue | ISSN |
40 | 2 | 1532-0480 |
Citations | PageRank | References |
2 | 0.42 | 15 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Szymon Nowakowski | 1 | 3 | 1.12 |
| Jerzy Tiuryn | 2 | 1210 | 126.00 |