ArticleScientific reports2020
Pathway-specific model estimation for improved pathway annotation by network crosstalk.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- A practical guide to functional enrichment analysis.Frontiers in bioinformatics · 2026Article
- Transcriptional modulation unique to vulnerable motor neurons predicts ALS across species and SOD1 mutations.Genome research · 2025Article
- Weighted overlapping group lasso for integrating prior network knowledge into gene set analysis.BMC bioinformatics · 2025Article
- Cluefish: mining the dark matter of transcriptional data series with over-representation analysis enhanced by aggregated biological prior knowledge.NAR genomics and bioinformatics · 2025Article
- Computational Drug Repositioning in Cardiorenal Disease: Opportunities, Challenges, and Approaches.Proteomics · 2025Article
- FunCoup 6: advancing functional association networks across species with directed links and improved user experience.Nucleic acids research · 2025Article
- Article
- Benchmarking enrichment analysis methods with the disease pathway network.Briefings in bioinformatics · 2024Article
- A systematic evaluation of the computational tools for ligand-receptor-based cell-cell interaction inference.Briefings in functional genomics · 2022Article
- Identifying cellular cancer mechanisms through pathway-driven data integration.Bioinformatics (Oxford, England) · 2022Article
- From Traditional Ethnopharmacology to Modern Natural Drug Discovery: A Methodology Discussion and Specific Examples.Molecules (Basel, Switzerland) · 2022Review
- Benefits and Challenges of Pre-clustered Network-Based Pathway Analysis.Frontiers in genetics · 2022Article
- Network Crosstalk as a Basis for Drug Repurposing.Frontiers in genetics · 2022Article
- ViralLink: An integrated workflow to investigate the effect of SARS-CoV-2 on intracellular signalling and regulatory pathways.PLoS computational biology · 2021Article
- PathBIX-a web server for network-based pathway annotation with adaptive null models.Bioinformatics advances · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pathway enrichment analysis is the most common approach for understanding which biological processes are affected by altered gene activities under specific conditions. However, it has been challenging to find a method that efficiently avoids false positives while keeping a high sensitivity. We here present a new network-based method ANUBIX based on sampling random gene sets against intact pathway. Benchmarking shows that ANUBIX is considerably more accurate than previous network crosstalk based methods, which have the drawback of modelling pathways as random gene sets. We demonstrate that ANUBIX does not have a bias for finding certain pathways, which previous methods do, and show that ANUBIX finds biologically relevant pathways that are missed by other methods.
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.