ArticlePacific Symposium on Biocomputing. Pacific Symposium on Biocomputing2017
EMPOWERING MULTI-COHORT GENE EXPRESSION ANALYSIS TO INCREASE REPRODUCIBILITY.
Article in Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 13 of them syntheses that pooled it.
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Who cites it
90 citing papers in PubMed, 13 syntheses or guidelines pooled it.
- Sex-biased Gene Expression Underlies Immune Dysfunction in Asthma.American journal of respiratory cell and molecular biology · 2025Pooled it
- Transcriptomic and Metagenomic Biomarkers in Peri-Implantitis: A Systematic Review, Diagnostic Meta-Analysis, and Functional Meta-Synthesis.Medical sciences (Basel, Switzerland) · 2025Pooled it
- Host Transcriptional Meta-signatures Reveal Diagnostic Biomarkers for Plasmodium falciparum Malaria.The Journal of infectious diseases · 2024Pooled it
- A Meta-Analysis Approach to Gene Regulatory Network Inference Identifies Key Regulators of Cardiovascular Diseases.International journal of molecular sciences · 2024Pooled it
- Gene signature discovery and systematic validation across diverse clinical cohorts for TB prognosis and response to treatment.PLoS computational biology · 2023Pooled it
- Pooled it
- Comprehensive multi-cohort transcriptional meta-analysis of muscle diseases identifies a signature of disease severity.Scientific reports · 2022Pooled it
- Increasing reproducibility, robustness, and generalizability of biomarker selection from meta-analysis using Bayesian methodology.PLoS computational biology · 2022Pooled it
- The immunoregulatory landscape of human tuberculosis granulomas.Nature immunology · 2022Pooled it
- Multisystem inflammatory syndrome in children: a microcosm of challenges and opportunities for translational bioinformatics in pediatric research.Current opinion in pediatrics · 2021Pooled it
- Transcriptomic Profiling Identifies Neutrophil-Specific Upregulation of Cystatin F as a Marker of Acute Inflammation in Humans.Frontiers in immunology · 2021Pooled it
- Comprehensive Integration of Genome-Wide Association and Gene Expression Studies Reveals Novel Gene Signatures and Potential Therapeutic Targets forFrontiers in immunology · 2021Pooled it
- GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis.Bioinformatics (Oxford, England) · 2020Pooled it
- A 6-mRNA host response classifier in whole blood predicts outcomes in COVID-19 and other acute viral infections.Scientific reports · 2022Trial
- Advancing genetic pathogenicity prediction with three-dimensional proteoform-phenotype analysis.medRxiv : the preprint server for health sciences · 2026Article
- Impaired keratinization activity in perianal Crohn's fistulas is associated with poor prognosis.Journal of Crohn's & colitis · 2026Article
- Integrated molecular networks reveal latent components distinguishing type 2-high and type 2-low asthma.BMJ open respiratory research · 2026Article
- In silico structural and functional characterization of high-risk missense variants in MMP8, GZMK, and OASL genes associated with epidemic viral infections.Scientific reports · 2026Article
- Computational discovery of precision therapeutics for hidradenitis suppurativa.bioRxiv : the preprint server for biology · 2026Article
- Metabolic, viral, and immune phenotypes in long COVID.Frontiers in endocrinology · 2026Article
30 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
A major contributor to the scientific reproducibility crisis has been that the results from homogeneous, single-center studies do not generalize to heterogeneous, real world populations. Multi-cohort gene expression analysis has helped to increase reproducibility by aggregating data from diverse populations into a single analysis. To make the multi-cohort analysis process more feasible, we have assembled an analysis pipeline which implements rigorously studied meta-analysis best practices. We have compiled and made publicly available the results of our own multi-cohort gene expression analysis of 103 diseases, spanning 615 studies and 36,915 samples, through a novel and interactive web application. As a result, we have made both the process of and the results from multi-cohort gene expression analysis more approachable for non-technical users.
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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.