ArticleBiometrika2014
Direct estimation of differential networks.
Article in Biometrika, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Flexibility in Gene Coexpression at Developmental and Evolutionary Timescales.Molecular biology and evolution · 2025Article
- Subgroup Analysis of Differential Networks with Latent Variables.Statistics and computing · 2025Article
- ImmuProgML: machine learning-based dissection of cancer-immune dynamics during tumor progression to improve immunotherapy.Journal of translational medicine · 2025Article
- NJGCG: A node-based joint Gaussian copula graphical model for gene networks inference across multiple states.Computational and structural biotechnology journal · 2024Article
- ONDSA: a testing framework based on Gaussian graphical models for differential and similarity analysis of multiple omics networks.Briefings in bioinformatics · 2024Article
- The cluster D-trace loss for differential network analysis.Journal of applied statistics · 2024Article
- A Bayesian approach to differential edges with probabilistic interactions: applications in association and classification.Bioinformatics advances · 2023Article
- NETWORK DIFFERENTIAL CONNECTIVITY ANALYSIS.The annals of applied statistics · 2022Article
- Covariate-Adjusted Inference for Differential Analysis of High-Dimensional Networks.Sankhya. Series A. (2008) · 2022Article
- Empowering differential networks using Bayesian analysis.PloS one · 2022Article
- Brain connectivity alteration detection via matrix-variate differential network model.Biometrics · 2021Article
- DCI: learning causal differences between gene regulatory networks.Bioinformatics (Oxford, England) · 2021Article
- Gaussian Bayesian network comparisons with graph ordering unknown.Computational statistics & data analysis · 2021Article
- Inter-Subject Analysis: A Partial Gaussian Graphical Model Approach.Journal of the American Statistical Association · 2021Article
- Differential Co-Expression Analyses Allow the Identification of Critical Signalling Pathways Altered during Tumour Transformation and Progression.International journal of molecular sciences · 2020Review
- Estimation and inference for the indirect effect in high-dimensional linear mediation models.Biometrika · 2020Article
- Gaussian and Mixed Graphical Models as (multi-)omics data analysis tools.Biochimica et biophysica acta. Gene regulatory mechanisms · 2020Review
- MDiNE: a model to estimate differential co-occurrence networks in microbiome studies.Bioinformatics (Oxford, England) · 2020Article
- Testing Differential Gene Networks under Nonparanormal Graphical Models with False Discovery Rate Control.Genes · 2020Article
- A Statistical Test for Differential Network Analysis Based on Inference of Gaussian Graphical Model.Scientific reports · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
It is often of interest to understand how the structure of a genetic network differs between two conditions. In this paper, each condition-specific network is modeled using the precision matrix of a multivariate normal random vector, and a method is proposed to directly estimate the difference of the precision matrices. In contrast to other approaches, such as separate or joint estimation of the individual matrices, direct estimation does not require those matrices to be sparse, and thus can allow the individual networks to contain hub nodes. Under the assumption that the true differential network is sparse, the direct estimator is shown to be consistent in support recovery and estimation. It is also shown to outperform existing methods in simulations, and its properties are illustrated on gene expression data from late-stage ovarian cancer patients.
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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.