ArticleGenome biology2004
Consensus clustering and functional interpretation of gene-expression data.
Article in Genome biology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.
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Who cites it
46 citing papers in PubMed, 146 citations in OpenAlex.
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- Identifying Potential Tumor Antigens and Antigens-Related Subtypes in Hepatocellular Carcinoma for mRNA Vaccine Development.Journal of oncology · 2022Article
- Unsupervised Algorithms for Microarray Sample Stratification.Methods in molecular biology (Clifton, N.J.) · 2022Article
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- Identification of gastric cancer subtypes based on pathway clustering.NPJ precision oncology · 2021Article
- A Broad m6A Modification Landscape in Inflammatory Bowel Disease.Frontiers in cell and developmental biology · 2021Article
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- A consensus multi-view multi-objective gene selection approach for improved sample classification.BMC bioinformatics · 2020Article
- Tumour-specific Causal Inference Discovers Distinct Disease Mechanisms Underlying Cancer Subtypes.Scientific reports · 2019Article
- Fine-tuned adaptation of embryo-endometrium pairs at implantation revealed by transcriptome analyses in Bos taurus.PLoS biology · 2019Article
- β-Catenin-mediated immune evasion pathway frequently operates in primary cutaneous melanomas.The Journal of clinical investigation · 2018Article
- Integrated genomic analysis identifies clinically relevant subtypes of renal clear cell carcinoma.BMC cancer · 2018Article
- Nearest Consensus Clustering Classification to Identify Subclasses and Predict Disease.Journal of healthcare informatics research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microarray analysis using clustering algorithms can suffer from lack of inter-method consistency in assigning related gene-expression profiles to clusters. Obtaining a consensus set of clusters from a number of clustering methods should improve confidence in gene-expression analysis. Here we introduce consensus clustering, which provides such an advantage. When coupled with a statistically based gene functional analysis, our method allowed the identification of novel genes regulated by NFkappaB and the unfolded protein response in certain B-cell lymphomas.
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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.