Optimally weighted Z-test is a powerful method for combining probabilities in meta-analysis.
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When is hub gene selection better than standard meta-analysis?Association between S100B Levels and Long-Term Outcome after Aneurysmal Subarachnoid Hemorrhage: Systematic Review and Pooled AnalysisPropensity score method for partially matched omics studiesMeta-analysis based on weighted ordered P-values for genomic data with heterogeneity.Comparative evaluation of gene set analysis approaches for RNA-Seq data.A robust method for genome-wide association meta-analysis with the application to circulating insulin-like growth factor I concentrations.Integrated RNA and DNA sequencing improves mutation detection in low purity tumors.Using beta-binomial regression for high-precision differential methylation analysis in multifactor whole-genome bisulfite sequencing experiments.CancerMA: a web-based tool for automatic meta-analysis of public cancer microarray data.A new statistical approach to combining p-values using gamma distribution and its application to genome-wide association studyLearning about the X from our parentsAssociation between six genetic polymorphisms and colorectal cancer: a meta-analysis.Functional gene group analysis indicates no role for heterotrimeric G proteins in cognitive ability.Cancer-risk module identification and module-based disease risk evaluation: a case study on lung cancer.Accuracy evaluation of the unified P-value from combining correlated P-valuesAssessing the Probability that a Finding Is Genuine for Large-Scale Genetic Association Studies.Enriched transcription factor signatures in triple negative breast cancer indicates possible targeted therapies with existing drugs.A novel analysis strategy for integrating methylation and expression data reveals core pathways for thyroid cancer aetiology.Genetically determined P2X7 receptor pore formation regulates variability in chronic pain sensitivity.An Optimal Bahadur-Efficient Method in Detection of Sparse Signals with Applications to Pathway Analysis in Sequencing Association StudiesAssociation of Body Mass Index with DNA Methylation and Gene Expression in Blood Cells and Relations to Cardiometabolic Disease: A Mendelian Randomization Approach.A survey of the approaches for identifying differential methylation using bisulfite sequencing data.The prognostic landscape of genes and infiltrating immune cells across human cancersThe nicotinic α6 subunit gene determines variability in chronic pain sensitivity via cross-inhibition of P2X2/3 receptorsHigh expression of new genes in trochophore enlightening the ontogeny and evolution of trochozoans.A sequence variant associating with educational attainment also affects childhood cognitionPrognostic value of 5-microRNA based signature in T2-T3N0 colon cancer.Human cognitive ability is influenced by genetic variation in components of postsynaptic signalling complexes assembled by NMDA receptors and MAGUK proteins.Comparison of Two Meta-Analysis Methods: Inverse-Variance-Weighted Average and Weighted Sum of Z-Scores.Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci.Vector Integration Sites Identification for Gene-Trap Screening in Mammalian Haploid Cells.Integrative framework for identification of key cell identity genes uncovers determinants of ES cell identity and homeostasisAnomalous altered expressions of downstream gene-targets in TP53-miRNA pathways in head and neck cancer.Using Multiple Pharmacovigilance Models Improves the Timeliness of Signal Detection in Simulated Prospective Surveillance.Genome-wide association study meta-analysis for quantitative ultrasound parameters of bone identifies five novel loci for broadband ultrasound attenuation.Epigenome-wide DNA methylation analysis in siblings and monozygotic twins discordant for sporadic Parkinson's disease revealed different epigenetic patterns in peripheral blood mononuclear cells.Non-parametric combination and related permutation tests for neuroimaging.Analysis of the interplay between methylation and expression reveals its potential role in cancer aetiology.A DNA methylation biomarker of alcohol consumption.Genetic variants in RBFOX3 are associated with sleep latency.
P2860
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P2860
Optimally weighted Z-test is a powerful method for combining probabilities in meta-analysis.
description
2011 nî lūn-bûn
@nan
2011 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Optimally weighted Z-test is a ...... robabilities in meta-analysis.
@ast
Optimally weighted Z-test is a ...... robabilities in meta-analysis.
@en
type
label
Optimally weighted Z-test is a ...... robabilities in meta-analysis.
@ast
Optimally weighted Z-test is a ...... robabilities in meta-analysis.
@en
prefLabel
Optimally weighted Z-test is a ...... robabilities in meta-analysis.
@ast
Optimally weighted Z-test is a ...... robabilities in meta-analysis.
@en
P2860
P1476
Optimally weighted Z-test is a ...... probabilities in meta-analysis
@en
P2093
D V Zaykin
P2860
P304
P356
10.1111/J.1420-9101.2011.02297.X
P577
2011-05-23T00:00:00Z