ArticleWiley interdisciplinary reviews. Computational statistics
Differential Network Analysis: A Statistical Perspective.
Article in Wiley interdisciplinary reviews. Computational statistics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 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
27 citing papers in PubMed.
- Using Bimodal Social Network Analysis as a Descriptive Evaluation Tool for Examining Process Changes in a Youth Wellness-Focused, Place-Based Initiative (Youth Wellness Zone).American journal of public health · 2026Article
- Temporal network analysis in systems biology: concepts, inference, and validation.Frontiers in bioinformatics · 2026Review
- Identifying High-Dimensional Genomic Factors Modulating Biological Networks Across MultiOmics Data.bioRxiv : the preprint server for biology · 2025Article
- Subgroup Analysis of Differential Networks with Latent Variables.Statistics and computing · 2025Article
- Flexibility in Gene Coexpression at Developmental and Evolutionary Timescales.Molecular biology and evolution · 2025Article
- Revisiting microgenderome: detecting and cataloguing sexually unique and enriched species in human microbiomes.BMC biology · 2024Article
- Article
- ONDSA: a testing framework based on Gaussian graphical models for differential and similarity analysis of multiple omics networks.Briefings in bioinformatics · 2024Article
- Non parametric differential network analysis: a tool for unveiling specific molecular signatures.BMC bioinformatics · 2024Article
- StableMate: a statistical method to select stable predictors in omics data.NAR genomics and bioinformatics · 2024Article
- Statistical inference on qualitative differences in the magnitude of an effect.Statistics in medicine · 2024Article
- Inference of differential gene regulatory networks using boosted differential trees.Bioinformatics advances · 2024Article
- The cluster D-trace loss for differential network analysis.Journal of applied statistics · 2024Article
- PRANA: an R package for differential co-expression network analysis with the presence of additional covariates.BMC genomics · 2023Article
- From time-series transcriptomics to gene regulatory networks: A review on inference methods.PLoS computational biology · 2023Review
- Network-based approaches for modeling disease regulation and progression.Computational and structural biotechnology journal · 2023Review
- Causal Structural Learning via Local Graphs.SIAM journal on mathematics of data science · 2023Article
- SpatialCorr identifies gene sets with spatially varying correlation structure.Cell reports methods · 2022Article
- Gaussian graphical models with applications to omics analyses.Statistics in medicine · 2022Article
- Covariate-Adjusted Inference for Differential Analysis of High-Dimensional Networks.Sankhya. Series A. (2008) · 2022Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Networks effectively capture interactions among components of complex systems, and have thus become a mainstay in many scientific disciplines. Growing evidence, especially from biology, suggest that networks undergo changes over time, and in response to external stimuli. In biology and medicine, these changes have been found to be predictive of complex diseases. They have also been used to gain insight into mechanisms of disease initiation and progression. Primarily motivated by biological applications, this article provides a review of recent statistical machine learning methods for inferring networks and identifying changes in their structures.
Identifiers
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.