False discovery rates in spectral identification
<p>Abstract</p> <p>Automated 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 make...
| Published in: | BMC Bioinformatics |
|---|---|
| Main Authors: | Jeong Kyowon, Kim Sangtae, Bandeira Nuno |
| Format: | Article |
| Language: | English |
| Published: |
BMC
2012-11-01
|
| Online Access: | http://www.biomedcentral.com/1471-2105/13/S16/S2 |
Similar Items
Comprehensive Comparative Analysis of Local False Discovery Rate Control Methods
by: Shin June Kim, et al.
Published: (2021-01-01)
by: Shin June Kim, et al.
Published: (2021-01-01)
Spectral networks: a new approach to de novo discovery of protein sequences and posttranslational modifications
by: Nuno Bandeira
Published: (2007-06-01)
by: Nuno Bandeira
Published: (2007-06-01)
False discovery rate control in cancer biomarker selection
by: Zhaoming Li
Published: (2023-07-01)
by: Zhaoming Li
Published: (2023-07-01)
False discovery rate control in two-stage designs
by: Zehetmayer Sonja, et al.
Published: (2012-05-01)
by: Zehetmayer Sonja, et al.
Published: (2012-05-01)
Correspondence (reply): The application conditions of false discovery rate control
by: Hongbin Zhang, et al.
Published: (2023-07-01)
by: Hongbin Zhang, et al.
Published: (2023-07-01)
A direct approach to estimating false discovery rates conditional on covariates
by: Simina M. Boca, et al.
Published: (2018-12-01)
by: Simina M. Boca, et al.
Published: (2018-12-01)
Identification of genetic loci that overlap between major depressive disorder and insomnia using the conditional false discovery rate analysis
by: Song Wenchao, et al.
Published: (2024-06-01)
by: Song Wenchao, et al.
Published: (2024-06-01)
Aggregating Knockoffs for False Discovery Rate Control with an Application to Gut Microbiome Data
by: Fang Xie, et al.
Published: (2021-02-01)
by: Fang Xie, et al.
Published: (2021-02-01)
A constrained polynomial regression procedure for estimating the local False Discovery Rate
by: Broët Philippe, et al.
Published: (2007-06-01)
by: Broët Philippe, et al.
Published: (2007-06-01)
Interactive identification of individuals with positive treatment effect while controlling false discoveries
by: Duan Boyan, et al.
Published: (2024-06-01)
by: Duan Boyan, et al.
Published: (2024-06-01)
False Discovery Rates in PET and CT Studies with Texture Features: A Systematic Review.
by: Anastasia Chalkidou, et al.
Published: (2015-01-01)
by: Anastasia Chalkidou, et al.
Published: (2015-01-01)
A Comparison of Two Classes of Methods for Estimating False Discovery Rates in Microarray Studies
by: Emily Hansen, et al.
Published: (2012-01-01)
by: Emily Hansen, et al.
Published: (2012-01-01)
Are most published research findings false? Trends in statistical power, publication selection bias, and the false discovery rate in psychology (1975-2017).
by: Andreas Schneck
Published: (2023-01-01)
by: Andreas Schneck
Published: (2023-01-01)
mulea: An R package for enrichment analysis using multiple ontologies and empirical false discovery rate
by: Cezary Turek, et al.
Published: (2024-10-01)
by: Cezary Turek, et al.
Published: (2024-10-01)
Asymptotic Properties of MSE Estimate for the False Discovery Rate Controlling Procedures in Multiple Hypothesis Testing
by: Sofia Palionnaya, et al.
Published: (2020-11-01)
by: Sofia Palionnaya, et al.
Published: (2020-11-01)
Empirical Bayes method for reducing false discovery rates of correlation matrices with block diagonal structure
by: Clare Pacini, et al.
Published: (2017-04-01)
by: Clare Pacini, et al.
Published: (2017-04-01)
Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA
by: Xiangnan Li, et al.
Published: (2022-08-01)
by: Xiangnan Li, et al.
Published: (2022-08-01)
Sample Size Calculation for Controlling False Discovery Proportion
by: Shulian Shang, et al.
Published: (2012-01-01)
by: Shulian Shang, et al.
Published: (2012-01-01)
Comparison of false discovery rate and familywise error rate methods for analyzing the removal of compounds of emerging concern in wastewater treatment plants
by: Gulhan Bourget
Published: (2025-07-01)
by: Gulhan Bourget
Published: (2025-07-01)
ConReg-R: Extrapolative recalibration of the empirical distribution of p-values to improve false discovery rate estimates
by: Choi Kwok, et al.
Published: (2011-05-01)
by: Choi Kwok, et al.
Published: (2011-05-01)
Control of the False Discovery Proportion for Independently Tested Null Hypotheses
by: Yongchao Ge, et al.
Published: (2012-01-01)
by: Yongchao Ge, et al.
Published: (2012-01-01)
Quantile-Adaptive Sufficient Variable Screening by Controlling False Discovery
by: Zihao Yuan, et al.
Published: (2023-03-01)
by: Zihao Yuan, et al.
Published: (2023-03-01)
Improved detection of common variants associated with schizophrenia and bipolar disorder using pleiotropy-informed conditional false discovery rate.
by: Ole A Andreassen, et al.
Published: (2013-04-01)
by: Ole A Andreassen, et al.
Published: (2013-04-01)
Control of false discoveries in grouped hypothesis testing for eQTL data
by: Pratyaydipta Rudra, et al.
Published: (2024-04-01)
by: Pratyaydipta Rudra, et al.
Published: (2024-04-01)
Preventing false discovery of heterogeneous treatment effect subgroups in randomized trials
by: Joseph Rigdon, et al.
Published: (2018-07-01)
by: Joseph Rigdon, et al.
Published: (2018-07-01)
Method to Reduce the False-Positive Rate of Loss of Resistance in the Cervical Epidural Region
by: Young Uk Kim, et al.
Published: (2016-01-01)
by: Young Uk Kim, et al.
Published: (2016-01-01)
Correction: Improved Detection of Common Variants Associated with Schizophrenia and Bipolar Disorder Using Pleiotropy-Informed Conditional False Discovery Rate.
by: Ole A Andreassen, et al.
Published: (2015-11-01)
by: Ole A Andreassen, et al.
Published: (2015-11-01)
A comparison of random-field-theory and false-discovery-rate inference results in the analysis of registered one-dimensional biomechanical datasets
by: Hanaa Naouma, et al.
Published: (2019-12-01)
by: Hanaa Naouma, et al.
Published: (2019-12-01)
DOMINO: a network‐based active module identification algorithm with reduced rate of false calls
by: Hagai Levi, et al.
Published: (2021-01-01)
by: Hagai Levi, et al.
Published: (2021-01-01)
False alarm rates of fault detection methods
by: Yusuf Sevim
Published: (2018-02-01)
by: Yusuf Sevim
Published: (2018-02-01)
On the gauge invariance of the decay rate of false vacuum
by: Motoi Endo, et al.
Published: (2017-08-01)
by: Motoi Endo, et al.
Published: (2017-08-01)
Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rate
by: Motulsky Harvey J, et al.
Published: (2006-03-01)
by: Motulsky Harvey J, et al.
Published: (2006-03-01)
Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations
by: Chakravarthi Kanduri, et al.
Published: (2025-08-01)
by: Chakravarthi Kanduri, et al.
Published: (2025-08-01)
Anti-correlated feature selection prevents false discovery of subpopulations in scRNAseq
by: Scott R. Tyler, et al.
Published: (2024-01-01)
by: Scott R. Tyler, et al.
Published: (2024-01-01)
The influence of misspecified covariance on false discovery control when using posterior probabilities
by: Ye Liang, et al.
Published: (2017-07-01)
by: Ye Liang, et al.
Published: (2017-07-01)
EEG power spectral analysis and saccadic eye movement for true and false information
by: Elvina Febriyani Chandrawijaya, et al.
Published: (2023-02-01)
by: Elvina Febriyani Chandrawijaya, et al.
Published: (2023-02-01)
Discovery of an additional nematine sawfly, Euura tibialis (Newman) (Hymenoptera, Tenthredinidae) associated with false acacia in Korea
by: Bia Park, et al.
Published: (2023-09-01)
by: Bia Park, et al.
Published: (2023-09-01)
Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data
by: Sedighe Rastaghi, et al.
Published: (2024-02-01)
by: Sedighe Rastaghi, et al.
Published: (2024-02-01)
Book Review. Why Constant False Alarm Rate?
by: Ivan Popchev
Published: (2025-06-01)
by: Ivan Popchev
Published: (2025-06-01)
Correction: Modifying the false discovery rate procedure based on the information theory under arbitrary correlation structure and its performance in high-dimensional genomic data
by: Sedighe Rastaghi, et al.
Published: (2024-02-01)
by: Sedighe Rastaghi, et al.
Published: (2024-02-01)
Similar Items
-
Comprehensive Comparative Analysis of Local False Discovery Rate Control Methods
by: Shin June Kim, et al.
Published: (2021-01-01) -
Spectral networks: a new approach to de novo discovery of protein sequences and posttranslational modifications
by: Nuno Bandeira
Published: (2007-06-01) -
False discovery rate control in cancer biomarker selection
by: Zhaoming Li
Published: (2023-07-01) -
False discovery rate control in two-stage designs
by: Zehetmayer Sonja, et al.
Published: (2012-05-01) -
Correspondence (reply): The application conditions of false discovery rate control
by: Hongbin Zhang, et al.
Published: (2023-07-01)
