ArticleGenome biology2007
Finding disease candidate genes by liquid association.
Article in Genome biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
16 citing papers in PubMed.
- scCOSMIX: A Mixed-Effects Framework for Differential Coexpression and Transcriptional Interactions Modeling in Single-Cell RNA-Seq.Statistics in medicine · 2025Article
- ONDSA: a testing framework based on Gaussian graphical models for differential and similarity analysis of multiple omics networks.Briefings in bioinformatics · 2024Article
- Network Modeling in Biology: Statistical Methods for Gene and Brain Networks.Statistical science : a review journal of the Institute of Mathematical Statistics · 2021Article
- Article
- LAceModule: Identification of Competing Endogenous RNA Modules by Integrating Dynamic Correlation.Frontiers in genetics · 2020Article
- Identification of human age-associated gene co-expressions in functional modules using liquid association.Oncotarget · 2018Article
- Genome-wide trait-trait dynamics correlation study dissects the gene regulation pattern in maize kernels.BMC plant biology · 2017Article
- Detecting subnetwork-level dynamic correlations.Bioinformatics (Oxford, England) · 2017Article
- Testing Differential Networks with Applications to Detecting Gene-by-Gene Interactions.Biometrika · 2015Article
- An efficient algorithm to explore liquid association on a genome-wide scale.BMC bioinformatics · 2014Article
- Direct estimation of differential networks.Biometrika · 2014Article
- Fatigue-related gene networks identified in CD(14)+ cells isolated from HIV-infected patients: part I: research findings.Biological research for nursing · 2013Article
- A penalized likelihood approach for bivariate conditional normal models for dynamic co-expression analysis.Biometrics · 2011Article
- Genome-wide expression links the electron transfer pathway of Shewanella oneidensis to chemotaxis.BMC genomics · 2010Article
- Variable selection and dependency networks for genomewide data.Biostatistics (Oxford, England) · 2009Article
- A method for analyzing censored survival phenotype with gene expression data.BMC bioinformatics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
A novel approach to finding candidate genes by using gene expression data through liquid association is developed and used to identify multiple sclerosis susceptibility candidate genes.
Indexed as
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.