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© Research
Publication : Journal of computational biology : a journal of computational molecular cell biology

Feature detection with controlled error rates in LC/MS images

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Journal of computational biology : a journal of computational molecular cell biology - 13 Mar 2012

Li-Thiao-Té S, Schwikowski B

Link to Pubmed [PMID] – 22414152

J. Comput. Biol. 2012 Apr;19(4):349-64

The Median M-N rule is a feature detection algorithm to detect peptide signals in Liquid Chromatography/Mass Spectrometry (LC/MS) images. As the procedure does not adequately control the statistical errors, we investigate an extension of the Median M-N rule to compute a statistical bound on the false-positive rate. We then study the false-negative rate and provide insights on the types of signal that can be detected by the M-N rule and the limit of detection. The resulting feature detection algorithm, which we term Quantile M-N rule, can be used in most feature detection algorithms to provide statistical control of the false-positive and false-negative rate. http://www.ncbi.nlm.nih.gov/pubmed/22414152