NEWS

IntrinsicScan 0.99.3

Added GitHub URL and BugReports metadata for Bioconductor submission.
Added an explicit AI-assisted development/provenance disclosure and source-code provenance comments.
Replaced the vignette author placeholder with the package maintainer name.
Updated the README for the public GitHub repository and submission stage.
No changes to the partitioning, scoring, inference, ranking, or resampling algorithms.

Added runnable examples for all exported functions.
Scoped RNG seeding locally to preserve deterministic numerical results without altering the caller's global RNG state.
Updated the R dependency for Bioconductor 3.24 development.
Expanded the vignette with required Introduction, Installation, labeled code chunks, references, and session information.
Added the utils::head namespace import identified by R CMD check.
No changes to the partitioning, scoring, inference, ranking, or resampling algorithms.

Fixed Bioconductor metadata access: global SummarizedExperiment metadata is accessed through S4Vectors::metadata(), where the accessor is defined.
Simplified NAMESPACE because Bioconductor accessors are called with explicit namespace qualification.
No changes to the numerical algorithms.

Initial Bioconductor-oriented package implementation of the IntrinsicScan method.
Matrix, SummarizedExperiment, and ExpressionSet inputs.
SummarizedExperiment output with ranked feature statistics and optional state assay.
Exact-J inference, optional stability, and fixed-partition permutation calibration preserved.