PathoFMPred: Tumour Feature Models from Pathology Representations

Builds and applies portable cancer-specific partial least squares (PLS) regression and partial least squares with linear discriminant analysis (PLS-LDA) model collections from pathology foundation-model representations. Feature and outcome tables are linked by explicit patient identifiers, repeated slide rows are pooled at patient level, and model development uses nested cross-validation before final fitting. The source package contains no fitted foundation-model parameters, embeddings, patient-level data, or atlas registry. Users may download a separately licensed, checksum-verified Prov-GigaPath collection after installation, or load authorized collections from local files. Outputs are research estimates without external-validation or clinical-use claims. The methods build on Wold et al. (2001) <doi:10.1016/S0169-7439(01)00155-1> and Barker and Rayens (2003) <doi:10.1002/cem.785>.

Version: 0.1.0
Depends: R (≥ 4.6.0)
Imports: digest, fastPLS (≥ 0.4), ggplot2, rmarkdown, stats, utils
Suggests: knitr, testthat (≥ 3.0.0)
Published: 2026-11-12
DOI: 10.32614/CRAN.package.PathoFMPred (may not be active yet)
Author: Aamilah Ismail [aut], Martin Ocharo [aut], Giulia Canarutto [aut], Moussa Kassim Mohamed [aut], Dalia Ahmed [aut], Brendon Price [aut], Dupe Ojo [aut], Ekene Emmanuel Nweke [aut], Alessia Vignoli [aut], Silvano Piazza [aut], Dinesh Gupta [aut], Leonardo Tenori [aut], Stefano Cacciatore [aut, cre]
Maintainer: Stefano Cacciatore <tkcaccia at gmail.com>
BugReports: https://github.com/tkcaccia/PathoFMPred/issues
License: MIT + file LICENSE
URL: https://github.com/tkcaccia/PathoFMPred
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: PathoFMPred results

Documentation:

Reference manual: PathoFMPred.html , PathoFMPred.pdf
Vignettes: PathoFMPred: building and using portable pathology models (source, R code)

Downloads:

Package source: PathoFMPred_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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