Results 41 to 50 of about 385,160 (293)

False discovery rates in spectral identification [PDF]

open access: yesBMC Bioinformatics, 2012
AbstractAutomated database search engines are one of the fundamental engines of high-throughput proteomics enabling daily identifications of hundreds of thousands of peptides and proteins from tandem mass (MS/MS) spectrometry data. Nevertheless, this automation also makes it humanly impossible to manually validate the vast lists of resulting ...
Jeong, Kyowon   +2 more
openaire   +5 more sources

Online Multi-Layer FDR Control

open access: yesMathematics
When hypotheses are tested in a stream and real-time decision-making is needed, online sequential hypothesis testing procedures are needed. Furthermore, these hypotheses are commonly partitioned into groups by their nature.
Runqiu Wang, Ran Dai
doaj   +1 more source

Discrete False-Discovery Rate Improves Identification of Differentially Abundant Microbes

open access: yesmSystems, 2017
Differential abundance testing is a critical task in microbiome studies that is complicated by the sparsity of data matrices. Here we adapt for microbiome studies a solution from the field of gene expression analysis to produce a new method, discrete ...
Lingjing Jiang   +5 more
doaj   +1 more source

The Need for Community Standards to Enable Accurate Comparison of Glycoproteomics Algorithm Performance

open access: yesMolecules, 2021
Protein glycosylation that mediates interactions among viral proteins, host receptors, and immune molecules is an important consideration for predicting viral antigenicity.
William E. Hackett, Joseph Zaia
doaj   +1 more source

Dependency and false discovery rate: Asymptotics

open access: yesThe Annals of Statistics, 2007
Some effort has been undertaken over the last decade to provide conditions for the control of the false discovery rate by the linear step-up procedure (LSU) for testing $n$ hypotheses when test statistics are dependent. In this paper we investigate the expected error rate (EER) and the false discovery rate (FDR) in some extreme parameter configurations
Finner, Helmut   +2 more
openaire   +4 more sources

Benchmark of helix-covariation using false discovery rate (FDR).

open access: yes, 2023
Benchmark of helix-covariation using false discovery rate (FDR).
Elena Rivas (7973)
core   +1 more source

A note on the use of multiple comparison scenario techniques in education and practice

open access: yes, 2011
Our main aim in this paper is to highlight current practice and education in multiple scenario comparison within DES experimentation and to illustrate the possible benefits of employing false discovery rate (FDR) control as opposed to strict family-wise ...
Hoad, Kathryn   +4 more
core   +1 more source

Thresholding of cryo-EM density maps by false discovery rate control

open access: yesIUCrJ, 2019
Cryo-EM now commonly generates close-to-atomic resolution as well as intermediate resolution maps from macromolecules observed in isolation and in situ.
Maximilian Beckers   +2 more
doaj   +1 more source

Comparing Different Statistical Models and Multiple Testing Corrections for Association Mapping in Soybean and Maize

open access: yesFrontiers in Plant Science, 2020
Association mapping (AM) is a powerful tool for fine mapping complex trait variation down to nucleotide sequences by exploiting historical recombination events. A major problem in AM is controlling false positives that can arise from population structure
Avjinder S. Kaler   +3 more
doaj   +1 more source

What’s Driving False Discovery Rates? [PDF]

open access: yesJournal of Proteome Research, 2007
The "Paris Guidelines" have begun the process of standardizing reporting for proteomics. New bioinformatics tools have improved the process for estimating error rates of peptide identifications. This perspective seeks to consider these advances in the context of proteomics' short history.
openaire   +2 more sources

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