splitGraph: Dataset Dependency Graphs for Leakage-Aware Evaluation
Represent biomedical dataset structure as typed dependency
graphs so that sample provenance, repeated-measure structure, study
design, batch effects, and temporal relationships are explicit and
inspectable. Validates dataset structure, detects sample-level overlap,
derives deterministic split constraints, and produces a tool-agnostic
split specification for leakage-aware evaluation workflows.
| Version: |
0.4.0 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
graphics, igraph, stats, utils |
| Suggests: |
bioLeak, jsonlite, knitr, pkgload, rmarkdown, rsample, SummarizedExperiment, testthat (≥ 3.0.0) |
| Published: |
2026-09-17 |
| DOI: |
10.32614/CRAN.package.splitGraph |
| Author: |
Selcuk Korkmaz 
[aut, cre] |
| Maintainer: |
Selcuk Korkmaz <selcukorkmaz at gmail.com> |
| BugReports: |
https://github.com/selcukorkmaz/splitGraph/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/selcukorkmaz/splitGraph |
| NeedsCompilation: |
no |
| Citation: |
splitGraph citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
splitGraph results |
Documentation:
| Reference manual: |
splitGraph.html , splitGraph.pdf
|
| Vignettes: |
Adapter cookbook: from split_spec to native resamples (source, R code)
Case study: a real multi-donor, multi-cell-type cohort (GEO GSE60424) (source, R code)
Cross-language handoff: R to JSON to Python to scikit-learn (source, R code)
FAQ and design notes (source, R code)
splitGraph: From Metadata to Leakage-Aware Split Design (source, R code)
Modeling site, platform, relatedness, and spatial structure (source, R code)
Quick start: from a metadata table to a split_spec in ten minutes (source, R code)
|
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