ArticleNucleic acids research2013
INMEX--a web-based tool for integrative meta-analysis of expression data.
Article in Nucleic acids research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 26 of them syntheses that pooled it.
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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.
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Who cites it
106 citing papers in PubMed, 26 syntheses or guidelines pooled it.
- Altered Expression of GABA-Related Genes in Schizophrenia: Insights from Meta-Analyses of Brain and Blood Samples and iPSC-Derived Organoids.Alpha psychiatry · 2026Pooled it
- Pathogenomic Signature and Aberrant Neurogenic Events in Experimental Cerebral Ischemic Stroke: A Neurotranscriptomic-Based Implication for Dementia.Journal of Alzheimer's disease : JAD · 2023Pooled it
- Integrated identification of key immune related genes and patterns of immune infiltration in calcified aortic valvular disease: A network based meta-analysis.Frontiers in genetics · 2022Pooled it
- Transcriptional insights into the CD8Journal of translational medicine · 2020Pooled it
- GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis.Bioinformatics (Oxford, England) · 2020Pooled it
- micro-RNAs dependent regulation of DNMT and HIF1α gene expression in thrombotic disorders.Scientific reports · 2019Pooled it
- Distinct gene expression characteristics in epithelial cell-International journal of medical sciences · 2019Pooled it
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- Gene expression meta-analysis in diffuse low-grade glioma and the corresponding histological subtypes.Scientific reports · 2017Pooled it
- Transcriptomic meta-analysis identifies gene expression characteristics in various samples of HIV-infected patients with nonprogressive disease.Journal of translational medicine · 2017Pooled it
- A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification.BMC bioinformatics · 2017Pooled it
- Identification of novel chemotherapeutic strategies for metastatic uveal melanoma.Scientific reports · 2017Pooled it
- Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data.BioMed research international · 2017Pooled it
- Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders.Scientific reports · 2016Pooled it
- Comprehensive Transcriptome Meta-analysis to Characterize Host Immune Responses in Helminth Infections.PLoS neglected tropical diseases · 2016Pooled it
- Identification of novel therapeutic target genes in acquired lapatinib-resistant breast cancer by integrative meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Pooled it
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- Comparison of Normal and Pre-Eclamptic Placental Gene Expression: A Systematic Review with Meta-Analysis.PloS one · 2016Pooled it
- Molecular Portrait of Oral Tongue Squamous Cell Carcinoma Shown by Integrative Meta-Analysis of Expression Profiles with Validations.PloS one · 2016Pooled it
46 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The widespread applications of various 'omics' technologies in biomedical research together with the emergence of public data repositories have resulted in a plethora of data sets for almost any given physiological state or disease condition. Properly combining or integrating these data sets with similar basic hypotheses can help reduce study bias, increase statistical power and improve overall biological understanding. However, the difficulties in data management and the complexities of analytical approaches have significantly limited data integration to enable meta-analysis. Here, we introduce integrative meta-analysis of expression data (INMEX), a user-friendly web-based tool designed to support meta-analysis of multiple gene-expression data sets, as well as to enable integration of data sets from gene expression and metabolomics experiments. INMEX contains three functional modules. The data preparation module supports flexible data processing, annotation and visualization of individual data sets. The statistical analysis module allows researchers to combine multiple data sets based on P-values, effect sizes, rank orders and other features. The significant genes can be examined in functional analysis module for enriched Gene Ontology terms or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, or expression profile visualization. INMEX has built-in support for common gene/metabolite identifiers (IDs), as well as 45 popular microarray platforms for human, mouse and rat. Complex operations are performed through a user-friendly web interface in a step-by-step manner. INMEX is freely available at http://www.inmex.ca.
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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.