ArticleThe annals of applied statistics2017
Gene Network Reconstruction using Global-Local Shrinkage Priors.
Article in The annals of applied statistics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Bayesian feature selection in joint models with application to a cardiovascular disease cohort study.Statistical methods in medical research · 2026Article
- Bayesian estimation of covariate assisted principal regression for brain functional connectivity.Biostatistics (Oxford, England) · 2025Article
- Alternatives to default shrinkage methods can improve prediction accuracy, calibration, and coverage: A methods comparison study.Statistical methods in medical research · 2025Article
- Semi-supervised empirical Bayes group-regularized factor regression.Biometrical journal. Biometrische Zeitschrift · 2022Article
- Identification of dynamic mass-action biochemical reaction networks using sparse Bayesian methods.PLoS computational biology · 2022Article
- Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer.Journal of the American Statistical Association · 2022Article
- Adaptive group-regularized logistic elastic net regression.Biostatistics (Oxford, England) · 2021Article
- Drug sensitivity prediction with normal inverse Gaussian shrinkage informed by external data.Biometrical journal. Biometrische Zeitschrift · 2021Article
- Effects of repetitive Iodine thyroid blocking on the foetal brain and thyroid in rats: a systems biology approach.Scientific reports · 2020Article
- Reverse engineering gene networks using global-local shrinkage rules.Interface focus · 2020Article
- Fast Bayesian inference in large Gaussian graphical models.Biometrics · 2019Article
- Learning from a lot: Empirical Bayes for high-dimensional model-based prediction.Scandinavian journal of statistics, theory and applications · 2019Article
- An empirical Bayes approach to network recovery using external knowledge.Biometrical journal. Biometrische Zeitschrift · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Reconstructing a gene network from high-throughput molecular data is an important but challenging task, as the number of parameters to estimate easily is much larger than the sample size. A conventional remedy is to regularize or penalize the model likelihood. In network models, this is often done
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.