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Fractionated Human/E. coli Benchmark Data Set

ABSTRACT: This benchmark data set is composed of two groups of fractionated samples. The first group contained a mixture of E. coli and human digest, and the second group contained a similar mixture except that the amount of E. coli was twice the amount as the first group.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human) Escherichia Coli

SUBMITTER: Robert Millikin

LAB HEAD: Lloyd M. Smith

PROVIDER: PXD016470 | Pride | 2020-04-06

REPOSITORIES: Pride

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A Bayesian Null Interval Hypothesis Test Controls False Discovery Rates and Improves Sensitivity in Label-Free Quantitative Proteomics.

Millikin Robert J RJ Shortreed Michael R MR Scalf Mark M Smith Lloyd M LM

Journal of proteome research 20200414 5

Statistical significance tests are a common feature in quantitative proteomics workflows. The Student's <i>t</i>-test is widely used to compute the statistical significance of a protein's change between two groups of samples. However, the <i>t</i>-test's null hypothesis asserts that the difference in means between two groups is exactly zero, often marking small but uninteresting fold-changes as statistically significant. Compensations to address this issue are widely used in quantitative proteom ...[more]

PMID: 32243168

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