False Annotations of Proteins: Automatic Detection via Keyword-Based Clustering

Abstract

Computational protein annotation methods occasionally introduce errors. False-positive (FP) errors are annotations that are mistakenly associated with a protein. Such false annotations introduce errors that may spread into databases through similarity with other proteins. We present a protein-clustering method that enables automatic separation of FP from… (More)

Topics

Cite this paper

@inproceedings{Kaplan2004FalseAO, title={False Annotations of Proteins: Automatic Detection via Keyword-Based Clustering}, author={Noam Kaplan and Michal Linial}, year={2004} }