Averaging Strategy To Reduce Variability in Target-Decoy Estimates of False Discovery Rate-Reference-Cited by-同舟云学术

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Averaging Strategy To Reduce Variability in Target-Decoy Estimates of False Discovery Rate

Published:2018-12-18 Issue:2 Volume:18 Page:585-593
ISSN:1535-3893
Container-title:Journal of Proteome Research
language:en
Short-container-title:J. Proteome Res.

Author:

Keich Uri¹,Tamura Kaipo²,Noble William Stafford²³^ORCID

Affiliation:

1. School of Mathematics and Statistics F07, University of Sydney, Sydney, New South Wales 2006, Australia

2. Department of Genome Sciences, University of Washington, Foege Building S220B, 3720 15th Avenue NE, Seattle, Washington 98195-5065, United States

3. Department of Computer Science and Engineering, University of Washington, Seattle, Washington 98195-5065, United States

Funder

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

General Chemistry,Biochemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jproteome.8b00802

Reference26 articles.

1. Empirical Statistical Model To Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search

2. Open Mass Spectrometry Search Algorithm

3. A Method for Assessing the Statistical Significance of Mass Spectrometry-Based Protein Identifications Using General Scoring Schemes

4. A Fast SEQUEST Cross Correlation Algorithm

5. Statistical Calibration of the SEQUEST XCorr Function

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2. On the use of tandem mass spectra acquired from samples of evolutionarily distant organisms to validate methods for false discovery rate estimation;PROTEOMICS;2024-03-15

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4. Acquisition and Analysis of DIA-Based Proteomic Data: A Comprehensive Survey in 2023;Molecular & Cellular Proteomics;2024-02

5. Data-Driven Tool for Cross-Run Ion Selection and Peak-Picking in Quantitative Proteomics with Data-Independent Acquisition LC–MS/MS;Analytical Chemistry;2023-10-31

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