Resonalis

J-EXPRESS / PUBLIC DOCUMENTATION

Scientific methods.
Open to inspection.

AI reasoning, research-informed scientific workflows and reliable computational tools work together with the researcher's own expertise. The documents below are public copies from the J-Express repository.

Technical acceptance within a defined test scope is not independent scientific peer review. These reference copies do not install any skill. Links to private engineering records are not public.

Development plans

J-Express roadmapDelivered capabilities, ongoing work and future plans, including additional data types.

Reference data

Proteomics data sourcesExternal HYE124 benchmark and a CC0 candidate for a future demo.

Whitepapers

AI-assisted scientific analysisCompute where the data lives; reason where the model excels.Scientific AI skills and workflow orchestrationResearch-informed methods, safeguards, and tool integration.

Scientific skills

Matrix analysisPCA, clustering, correspondence analysis.NormalizationTransformation, scaling, modality-aware checks.EmbeddingsUMAP, neighbors and conceptual representations.Bulk RNA-seqCount-aware QC, experimental design.Single-cell RNA-seqCell QC, clustering and donor-level caveats.