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Accurate Estimation of False Discovery Rates for Protein and Proteoform Identification in Top Down Proteomics

IU DataCORE2026-04-04 收录

蛋白质组学鉴定验证

假发现率分析

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资源简介：

Accurate Estimation of False Discovery Rates for Protein and Proteoform Identification in Top Down Proteomics

应用场景：

肽段鉴定

假发现率分析

The sequence database searching method is widely used in proteomics for peptide identification. To control the false discovery rate (FDR) of the searching results, the target–decoy method generates an

NIAID Data Ecosystem70

Nonlinear Fitting Method for Determining Local False Discovery Rates from Decoy Database Searches

生物信息学

假发现率分析

False discovery rate (FDR) analyses of protein and peptide identification results using decoy database searching conventionally report aggregate or global FDRs for a whole set of identifications, whic

NIAID Data Ecosystem40

False Discovery Rate Regression: An Application to Neural Synchrony Detection in Primary Visual Cortex

假发现率分析

神经同步性检测

This article introduces false discovery rate regression, a method for incorporating covariate information into large-scale multiple-testing problems. FDR regression estimates a relationship between te

DataCite Commons2024-03-24 更新30

Evaluating Statistical Methods Using Plasmode Data Sets in the Age of Massive Public Databases: An Illustration Using False Discovery Rates

高维统计

假发现率分析

Plasmode is a term coined several years ago to describe data sets that are derived from real data but for which some truth is known. Omic techniques, most especially microarray and genomewide associat

NIAID Data Ecosystem60

Additional file 1: of The exploration of contrasting pathways in Triple Negative Breast Cancer (TNBC)

癌症分子通路分析

假发现率分析

FDRs of 191 Yin . 133 Yin pathways were selected with PDF < 0.05 (XLS 73 kb)

Figshare2018-01-05 更新40