Results 31 to 40 of about 385,160 (293)

BICOSS: Bayesian iterative conditional stochastic search for GWAS

BMC Bioinformatics, 2022
Background Single marker analysis (SMA) with linear mixed models for genome wide association studies has uncovered the contribution of genetic variants to many observed phenotypes. However, SMA has weak false discovery control.
Jacob Williams, Marco A. R. Ferreira, Tieming Ji   +2 more
doaj   +1 more source

False Discovery Rate Control With Groups [PDF]

Journal of the American Statistical Association, 2010
In the context of large-scale multiple hypothesis testing, the hypotheses often possess certain group structures based on additional information such as Gene Ontology in gene expression data and phenotypes in genome-wide association studies. It is hence desirable to incorporate such information when dealing with multiplicity problems to increase ...
Hu, James X., Zhao, Hongyu, Zhou, Harrison H.   +2 more
openaire   +3 more sources

A unified approach to false discovery rate estimation

BMC Bioinformatics, 2008
Background False discovery rate (FDR) methods play an important role in analyzing high-dimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as numerous statistical algorithms for estimating or controlling FDR.
Strimmer Korbinian
doaj   +1 more source

Cryo-EM Map–Based Model Validation Using the False Discovery Rate Approach

Frontiers in Molecular Biosciences, 2021
Significant technological developments and increasing scientific interest in cryogenic electron microscopy (cryo-EM) has resulted in a rapid increase in the amount of data generated by these experiments and the derived atomic models.
Mateusz Olek, Mateusz Olek, Agnel Praveen Joseph   +2 more
doaj   +1 more source

False discovery rate and miss rate for category 2.

, 2023
False discovery rate and miss rate for category 2.
Muddassar Azam Sindhu (8735385), Rabeeh Ayaz Abbasi (12999930), Rabeeh Ayaz Abbasi, Maryam Imtiaz Malik, Maryam Imtiaz Malik (16436742), Muddassar Azam Sindhu   +5 more
core   +1 more source

False discovery rate estimation and heterobifunctional cross-linkers.

PLoS ONE, 2018
False discovery rate (FDR) estimation is a cornerstone of proteomics that has recently been adapted to cross-linking/mass spectrometry. Here we demonstrate that heterobifunctional cross-linkers, while theoretically different from homobifunctional cross ...
Lutz Fischer, Juri Rappsilber
doaj   +1 more source

A new estimation of protein-level false discovery rate

BMC Genomics, 2018
Background In mass spectrometry-based proteomics, protein identification is an essential task. Evaluating the statistical significance of the protein identification result is critical to the success of proteomics studies.
Guanying Wu, Xiang Wan, Baohua Xu
doaj   +1 more source

False discovery rate and miss rate for category 1.

, 2023
False discovery rate and miss rate for category 1.
Muddassar Azam Sindhu (8735385), Rabeeh Ayaz Abbasi (12999930), Maryam Imtiaz Malik (16436742)   +2 more
core   +1 more source

Enhanced climate reproducibility testing with false discovery rate correction [PDF]

Earth System Dynamics
Simulating the Earth's climate is an important and complex problem, thus climate models are similarly complex, comprised of millions of lines of code. In order to appropriately utilize the latest computational and software infrastructure advancements in ...
M. E. Kelleher, S. Mahajan
doaj   +1 more source

Target-small decoy search strategy for false discovery rate estimation

BMC Bioinformatics, 2019
Background One of the most important steps in peptide identification is to estimate the false discovery rate (FDR). The most commonly used method for estimating FDR is the target-decoy search strategy (TDS).
Hyunwoo Kim, Sangjeong Lee, Heejin Park
doaj   +1 more source