Current RadiopharmaceuticalsBioinformaticsPeer-reviewed journal article
Onlinemeta: A Web Server for Meta-Analysis Based on Shiny Framework
Weiyuntian Dai, Anqi LiniD, Yonglin Yi, Chaozheng ZhouiD, Jian Zhang (1682), Shixiang WangiD, Min Sun, Peng LuoiD
Abstract
Meta-analysis is a common statistical method used to summarize multiple studies that cover the same topic. It can provide less biased results and explain heterogeneity between studies. Although there exists a variety of meta-analysis softwares, they are rarely both convenient to use and capable of comprehensive analytical functions. As a result, we are motivated to establish a meta-analysis web tool called Meta-Analysis Online (Onlinemeta). Onlinemeta includes three major modules: risk bias analysis, meta-analysis and network meta-analysis. The risk bias analysis module can produce heatmaps and histograms, whereas the meta-analysis module accepts many types of data as input, including dichotomous variables, single-armed dichotomous variables, continuous variables, single-armed continuous variables, survival data, deft method and diagnostic experiments, and outputs well-tuned forest plots, sensitivity analysis forest plots, funnel plots, comparison table of effects, SROC curve, and crosshair plots. For network meta-analysis module, the tool can process dichotomous variables or continuous variables, and generate network plots, forest plots, SUCRA (Surface Under the Cumulative Ranking) plots, rank plots and heatmaps. Onlinemeta is available at https://smuonco.Shinyapps.io/Onlinemeta/.
- Citations
- 1
- FWCI
- 4.78
- Field percentile
- top 8%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- PlotS: web-based application for data visualization and analysis
Ringyao Jajo, Shivani Kansal, … Saurabh Raghuvanshi·bioRxiv·Jun 9, 2023
- MultiMeta: an R package for meta-analysing multi-phenotype genome-wide association studies
Dragana Vuckovic, Paolo Gasparini, … Valentina Iotchkova·bioRxiv·Jan 16, 2015
- metan: an R package for multi-environment trial analysis
Tiago Olivoto, Alessandro Dal’Cól Lúcio·Methods in Ecology and EvolutionPeer-reviewed·Mar 4, 2020
- Reproducible, flexible and high throughput data extraction from primary literature: The metaDigitise R package
J. L. Pick, S. Nakagawa, D. W. Noble·bioRxiv·Oct 5, 2018
- dsSurvival: Privacy preserving survival models for federated individual patient meta-analysis in DataSHIELD
Soumya Banerjee, Ghislain N. Sofack, … Tom R. P. Bishop·BMC Research NotesPeer-reviewed·Jun 3, 2022
- ReNette: a web-infrastructure for reproducible network analysis
M. Filosi, S. Droghetti, … C. Furlanello·bioRxiv·Aug 27, 2014