ArticleNucleic acids research2021
CPA: a web-based platform for consensus pathway analysis and interactive visualization.
Article in Nucleic acids research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Ancestry specific polygenic risk score, dietary patterns, physical activity and incident type 2 diabetes.Human genomics · 2026Article
- CSIE: cancer subtyping via inference and ensemble.Briefings in bioinformatics · 2026Article
- Wastewater intelligence predicts the emergence of clinically-relevant and drug-resistant Candidozyma auris at healthcare facilities.Nature communications · 2026Article
- Evaluation of artificial intelligence identified ipratropium bromide for the treatment of coronavirus disease 2019.Scientific reports · 2026Article
- Cell type annotation using large language models (LLMs) and CytoAnalyst.Bioinformatics advances · 2026Article
- Identification of potential blood biomarkers of coronary artery disease using a cuproptosis gene set.European journal of medical research · 2025Article
- DSCC: disease subtyping using spectral clustering and community detection from consensus networks.Briefings in bioinformatics · 2025Article
- Integrating bioinformatics and machine learning analyses to identify immune-related secretory proteins and therapeutic small-molecule drugs in calcific aortic valve disease with type 2 diabetes.Frontiers in immunology · 2025Article
- Exploring the role of LOX family in glioma progression and immune modulation.Frontiers in immunology · 2025Article
- Detailing the biomedical aspects of geroscience by molecular data and large-scale "deep" bioinformatics analyses.Zeitschrift fur Gerontologie und Geriatrie · 2024Review
- CCPA: cloud-based, self-learning modules for consensus pathway analysis using GO, KEGG and Reactome.Briefings in bioinformatics · 2024Article
- Spatially resolved multiomics on the neuronal effects induced by spaceflight in mice.Nature communications · 2024Article
- RCPA: An Open-Source R Package for Data Processing, Differential Analysis, Consensus Pathway Analysis, and Visualization.Current protocols · 2024Article
- Sexual dimorphism during integrative endocrine and immune responses to ionizing radiation in mice.Scientific reports · 2024Article
- Preexisting tumor-resident T cells with cytotoxic potential associate with response to neoadjuvant anti-PD-1 in head and neck cancer.Science immunology · 2023Article
- PD-1Cancer immunology, immunotherapy : CII · 2023Article
- PRO-Simat: Protein network simulation and design tool.Computational and structural biotechnology journal · 2023Article
- A comprehensive survey of the approaches for pathway analysis using multi-omics data integration.Briefings in bioinformatics · 2022Review
- TogoID: an exploratory ID converter to bridge biological datasets.Bioinformatics (Oxford, England) · 2022Article
- Differential Single Cell Responses of Embryonic Stem Cells Versus Embryoid Bodies to Gravity Mechanostimulation.Stem cells and development · 2022Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
In molecular biology and genetics, there is a large gap between the ease of data collection and our ability to extract knowledge from these data. Contributing to this gap is the fact that living organisms are complex systems whose emerging phenotypes are the results of multiple complex interactions taking place on various pathways. This demands powerful yet user-friendly pathway analysis tools to translate the now abundant high-throughput data into a better understanding of the underlying biological phenomena. Here we introduce Consensus Pathway Analysis (CPA), a web-based platform that allows researchers to (i) perform pathway analysis using eight established methods (GSEA, GSA, FGSEA, PADOG, Impact Analysis, ORA/Webgestalt, KS-test, Wilcox-test), (ii) perform meta-analysis of multiple datasets, (iii) combine methods and datasets to accurately identify the impacted pathways underlying the studied condition and (iv) interactively explore impacted pathways, and browse relationships between pathways and genes. The platform supports three types of input: (i) a list of differentially expressed genes, (ii) genes and fold changes and (iii) an expression matrix. It also allows users to import data from NCBI GEO. The CPA platform currently supports the analysis of multiple organisms using KEGG and Gene Ontology, and it is freely available at http://cpa.tinnguyen-lab.com.
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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.