ArticleBMC bioinformatics2006
HeatMapper: powerful combined visualization of gene expression profile correlations, genotypes, phenotypes and sample characteristics.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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
18 citing papers in PubMed.
- Proteomic Analysis of Primary Colon Cancer and Synchronous Solitary Liver Metastasis.Cancer genomics & proteomicsTrial
- Integration of HMW-GS and retrotransposon marker LTR14 for selection of wheat genotypes combining baking quality and resistance to take-all disease.BMC plant biology · 2026Article
- Dosimetric Predictors of Acute Radiation Pneumonitis and Esophagitis in Hypofractionated Thoracic Irradiation of Non-Small Cell Lung Cancer Patients With Poor Prognostic Factors.Advances in radiation oncology · 2025Article
- Asteraceae genome database: a comprehensive platform for Asteraceae genomics.Frontiers in plant science · 2024Article
- CYP4F12 is a potential biomarker and inhibits cell migration of head and neck squamous cell carcinoma via EMT pathway.Scientific reports · 2023Article
- Proteomics-Based Serum Alterations of the Human Protein Expression after Out-of-Hospital Cardiac Arrest: Pilot Study for Prognostication of Survivors vs. Non-Survivors at Day 1 after Return of Spontaneous Circulation (ROSC).Journal of clinical medicine · 2022Article
- The Original Form of CFrontiers in plant science · 2022Article
- Modulatory Role of Vaginal-Isolated Lactococcus lactis on the Expression of miR-21, miR-200b, and TLR-4 in CAOV-4 Cells and In Silico Revalidation.Probiotics and antimicrobial proteins · 2020Article
- Unravelling the proteomic signature of extracellular vesicles released by drug-resistant Leishmania infantum parasites.PLoS neglected tropical diseases · 2020Article
- Article
- MicroScope: ChIP-seq and RNA-seq software analysis suite for gene expression heatmaps.BMC bioinformatics · 2016Article
- Article
- Transcription factors, sucrose, and sucrose metabolic genes interact to regulate potato phenylpropanoid metabolism.Journal of experimental botany · 2013Article
- Differential effects of environment on potato phenylpropanoid and carotenoid expression.BMC plant biology · 2012Article
- VennDiagram: a package for the generation of highly-customizable Venn and Euler diagrams in R.BMC bioinformatics · 2011Article
- Transcriptional-metabolic networks in beta-carotene-enriched potato tubers: the long and winding road to the Golden phenotype.Plant physiology · 2010Article
- Three LIF-dependent signatures and gene clusters with atypical expression profiles, identified by transcriptome studies in mouse ES cells and early derivatives.BMC genomics · 2009Article
- SNPExpress: integrated visualization of genome-wide genotypes, copy numbers and gene expression levels.BMC genomics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate interpretation of data obtained by unsupervised analysis of large scale expression profiling studies is currently frequently performed by visually combining sample-gene heatmaps and sample characteristics. This method is not optimal for comparing individual samples or groups of samples. Here, we describe an approach to visually integrate the results of unsupervised and supervised cluster analysis using a correlation plot and additional sample metadata.
resultsWe have developed a tool called the HeatMapper that provides such visualizations in a dynamic and flexible manner and is available from http://www.erasmusmc.nl/hematologie/heatmapper/.
conclusionThe HeatMapper allows an accessible and comprehensive visualization of the results of gene expression profiling and cluster analysis.
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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.