ArticleBioinformatics (Oxford, England)2016
The discordant method: a novel approach for differential correlation.
Article in Bioinformatics (Oxford, England), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 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.
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Who cites it
23 citing papers in PubMed.
- Effect of implant abutment surface treatments on bacterial biofilm composition and structure.Journal of oral microbiology · 2025Article
- Assessing peri-implant bacterial community structure: the effect of microbiome sample collection method.BMC oral health · 2024Article
- Multivariate differential association analysis.Stat (International Statistical Institute) · 2024Article
- Patient-specific analysis of co-expression to measure biological network rewiring in individuals.Life science alliance · 2024Article
- Limitation of permutation-based differential correlation analysis.Genetic epidemiology · 2023Article
- Large-scale correlation network construction for unraveling the coordination of complex biological systems.Nature computational science · 2023Article
- IntLIM 2.0: identifying multi-omic relationships dependent on discrete or continuous phenotypic measurements.Bioinformatics advances · 2023Article
- Data analysis methods for defining biomarkers from omics data.Analytical and bioanalytical chemistry · 2022Review
- Weighted gene co-expression identification of CDKN1A as a hub inflammation gene following cardiopulmonary bypass in children with congenital heart disease.Frontiers in surgery · 2022Article
- Crop host signatures reflected by co-association patterns of keystone Bacteria in the rhizosphere microbiota.Environmental microbiome · 2021Article
- NetCoMi: network construction and comparison for microbiome data in R.Briefings in bioinformatics · 2021Article
- Network analysis methods for studying microbial communities: A mini review.Computational and structural biotechnology journal · 2021Review
- Comparing Statistical Tests for Differential Network Analysis of Gene Modules.Frontiers in genetics · 2021Article
- Differential Co-Expression Analyses Allow the Identification of Critical Signalling Pathways Altered during Tumour Transformation and Progression.International journal of molecular sciences · 2020Review
- Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources.Metabolites · 2020Review
- Whole transcriptomic network analysis using Co-expression Differential Network Analysis (CoDiNA).PloS one · 2020Article
- Computational Oncology in the Multi-Omics Era: State of the Art.Frontiers in oncology · 2020Review
- Differential co-expression-based detection of conditional relationships in transcriptional data: comparative analysis and application to breast cancer.Genome biology · 2019Article
- Omics and the Search for Blood Biomarkers in Chronic Obstructive Pulmonary Disease. Insights from COPDGene.American journal of respiratory cell and molecular biology · 2019Review
- IntLIM: integration using linear models of metabolomics and gene expression data.BMC bioinformatics · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
motivationCurrent differential correlation methods are designed to determine molecular feature pairs that have the largest magnitude of difference between correlation coefficients. These methods do not easily capture molecular feature pairs that experience no correlation in one group but correlation in another, which may reflect certain types of biological interactions. We have developed a tool, the Discordant method, which categorizes the correlation types for each group to make this possible.
resultsWe compare the Discordant method to existing approaches using simulations and two biological datasets with different types of -omics data. In contrast to other methods, Discordant identifies phenotype-related features at a similar or higher rate while maintaining reasonable computational tractability and usability. AVAILABILITY AND IMPLEMENTATION: R code and sample data are available at https://github.com/siskac/discordant CONTACT: katerina.kechris@ucdenver.edu SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.