False discovery rate - Open Access .click

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False Discovery Rate Estimation in Proteomics

2016
With the advancement in proteomics separation techniques and improvements in mass analyzers, the data generated in a mass-spectrometry based proteomics experiment is rising exponentially. Such voluminous datasets necessitate automated computational tools for high-throughput data analysis and appropriate statistical control.
Suruchi, Aggarwal, Amit Kumar, Yadav
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False Discovery Rate for Homology Searches

2013
While many different aspects of retrieval algorithms (e.g., BLAST) have been studied in depth, the method for determining the retrieval threshold has not enjoyed the same attention. Furthermore, with genetic databases growing rapidly, the challenges of multiple testing are escalating.
Hyrum D. Carroll +3 more
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Significance analysis by minimizing false discovery rate

2012 IEEE International Conference on Bioinformatics and Biomedicine, 2012
False discovery rate (FDR) control is widely practiced to correct for multiple comparisons in selecting statistically significant features from genome-wide datasets. In this paper, we present an advanced significance analysis method called miFDR that minimizes FDR when the number of the required significant features is fixed.
Yuanzhe Bei, Pengyu Hong
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SOME COMMENTS ON FALSE DISCOVERY RATE