ArticleBMC bioinformatics2009
RankAggreg, an R package for weighted rank aggregation.
Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 4 of them syntheses that pooled it.
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
115 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Exposome-Wide Association Study of Body Mass Index Using a Novel Meta-Analytical Approach for Random Forest Models.Environmental health perspectives · 2024Pooled it
- GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis.Bioinformatics (Oxford, England) · 2020Pooled it
- Exploring the importance of cancer pathways by meta-analysis of differential protein expression networks in three different cancers.Biology direct · 2016Pooled it
- Asymmetric microarray data produces gene lists highly predictive of research literature on multiple cancer types.BMC bioinformatics · 2010Pooled it
- Screening of Stable Reference Genes inVeterinary sciences · 2026Article
- Selection and Validation of Reference Genes for qRT-PCR Analysis inPlants (Basel, Switzerland) · 2026Article
- BiGER: Bayesian rank aggregation in genomics with extended ranking schemes.Nature communications · 2026Article
- Composite Biofidelity: Addressing Metric Degeneracy in Biomechanical Model Validation and Machine Learning Loss Design.bioRxiv : the preprint server for biology · 2026Article
- Variant-to-Biomarker Integration and Mechanistic Validation Identify CES1 as a Copy Number-Linked Predictor of Radiotherapy Response in Rectal Cancer.Human mutation · 2026Article
- Designing Artificial Intelligence-Powered Health Care Assistants to Reach Vulnerable Populations: A Discrete Choice Experiment Among South African University Students.Mayo Clinic proceedings. Digital health · 2025Article
- Selection of stable reference genes for accurate reverse-transcription quantitative PCR in cotton-herbivore studies using virus-induced gene silencing.Scientific reports · 2025Article
- TRanscriptome ANalysis of StratifiEd CohorTs (TRANSECT) enables automated assessment of global gene regulation linked to disparate expression in user defined genes and gene sets.NAR genomics and bioinformatics · 2025Article
- Unlocking the genetic code: a comprehensive Genome-Wide association study and gene set enrichment analysis of cell-mediated immunity in chickens.BMC genomics · 2025Article
- A comprehensive workflow for optimizing RNA-seq data analysis.BMC genomics · 2024Article
- Individual-network based predictions of microbial interaction signatures for response to biological therapies in IBD patients.Frontiers in molecular biosciences · 2024Article
- Selection of the optimal personalized treatment from multiple treatments with right-censored multivariate outcome measures.Journal of applied statistics · 2024Article
- Distance-based novelty detection model for identifying individuals at risk of developing Alzheimer's disease.Frontiers in aging neuroscience · 2024Article
- Immunomodulatory contribution of mast cells to the regenerative biomaterial microenvironment.NPJ Regenerative medicine · 2023Article
- Identification and Validation of Reference Genes for Expression Analysis Using RT-qPCR inInsects · 2023Article
- Multiomics reveals glutathione metabolism as a driver of bimodality during stem cell aging.Cell metabolism · 2023Article
55 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundResearchers in the field of bioinformatics often face a challenge of combining several ordered lists in a proper and efficient manner. Rank aggregation techniques offer a general and flexible framework that allows one to objectively perform the necessary aggregation. With the rapid growth of high-throughput genomic and proteomic studies, the potential utility of rank aggregation in the context of meta-analysis becomes even more apparent. One of the major strengths of rank-based aggregation is the ability to combine lists coming from different sources and platforms, for example different microarray chips, which may or may not be directly comparable otherwise.
resultsThe RankAggreg package provides two methods for combining the ordered lists: the Cross-Entropy method and the Genetic Algorithm. Two examples of rank aggregation using the package are given in the manuscript: one in the context of clustering based on gene expression, and the other one in the context of meta-analysis of prostate cancer microarray experiments.
conclusionThe two examples described in the manuscript clearly show the utility of the RankAggreg package in the current bioinformatics context where ordered lists are routinely produced as a result of modern high-throughput technologies.
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.