Updated TFold software enhances sensitivity for identifying differentially expressed proteins in proteomics, indicating significant advancements in protein detection.
UNLABELLED: We present an updated version of the TFold software for pinpointing differentially expressed proteins in shotgun proteomics experiments. Given an FDR bound, the updated approach uses a theoretical FDR estimator to maximize the number of identifications that satisfy both a fold-change cutoff that varies with the t-test P-value as a power law and a stringency criterion that aims to detect lowly abundant proteins. The new version has yielded significant improvements in sensitivity over the previous one. AVAILABILITY: Freely available for academic use at http://pcarvalho.com/patternlab.
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Carvalho et al. (2012) studied this question.
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