aplot: Simplifying the creation of complex graphs to visualize associations across diverse data types Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1016/j.xinn.2025.100958
Effective data visualization is crucial for researchers, revealing patterns, trends, and insights that might otherwise remain hidden. Integrating related visualizations can reveal correlations and relationships that are not evident when analyzing datasets separately. Despite increasing demand, there is a shortage of general tools to seamlessly combine diverse datasets to create complex visual representations. The aplot package addresses this by allowing users to independently create subplots and assemble them into a cohesive composite figure. It automatically reorders datasets for coordinate consistency, removing the need for manual adjustment. This modular approach simplifies the creation of complex visualizations, allowing customization to meet specific needs. Aplot's versatility is ideal for integrating multi-omics datasets and analytical results for biological insights. The package is freely available on CRAN at https://cran.r-project.org/package=aplot, offering researchers a powerful tool for enhanced data exploration and visualizing workflows.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.xinn.2025.100958
- OA Status
- gold
- Cited By
- 3
- References
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- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4410593823Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.xinn.2025.100958Digital Object Identifier
- Title
-
aplot: Simplifying the creation of complex graphs to visualize associations across diverse data typesWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-22Full publication date if available
- Authors
-
Shuangbin Xu, Qianwen Wang, Shaodi Wen, Junrui Li, Nan He, Ming Li, Thomas Hackl, Rui Wang, Dongqiang Zeng, Shixiang Wang, Shensuo Li, Chunhui Gao, Lang Zhou, Silin Tao, Zijing Xie, Deng Lin, Guangchuang YuList of authors in order
- Landing page
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https://doi.org/10.1016/j.xinn.2025.100958Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.xinn.2025.100958Direct OA link when available
- Concepts
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Data science, Computer science, Graph drawing, Visualization, Data miningTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3Per-year citation counts (last 5 years)
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19Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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