{"entity":{"id":"cancer-ai-vocabulary","kind":"term","name":"Cancer AI vocabulary (CanSim terms map)","aka":["cancer AI vocabulary","CanSim terms map","CanSim terms","methods and models glossary"],"tldr":"A hub for the vocabulary of cancer AI: the assays and cohorts models train on, the machine-learning and statistics terms in their papers, the standards their data must follow and the licences that govern reuse.","summary":"OnCo added this vocabulary on 24 September 2026 from the CanSim terms map, an open list of the terms an open, public-data-first cancer foundation-model programme found itself explaining. The oncology half (assays, data modalities, standards, access rules, clinical concepts) sits in the canonical glossary categories; the methods half sits under Methods and models. Every term paraphrases the page it links, states why a reader meets it in cancer papers, and carries the attribution below. Terms that were only CanSim result names with no general meaning were left out and are listed in docs/CANCERSIM-TERMS-GAP.md. Attribution: CanSim terms map 1.0.0 (docs/onco/terms.json, generated 2026-09-24), CC BY 4.0, attribution: CanSim project, an open, public-data-first cancer foundation-model programme.","asOf":"2026-09-24","links":[],"tags":["cansim-terms","hub"],"related":["idea-multimodal-foundation-model","idea-data-open-cell-foundation-model","tcga-gdc","cptac","depmap","cellxgene-hca"],"cancers":[],"sections":[],"technologies":["pathology-foundation-model","ai-compute-platforms","rna-seq","single-cell-spatial","digital-pathology-ai"],"targets":[],"drugs":[],"companies":[],"institutions":[],"pathways":[],"terms":["tumour-board","grade-vs-stage","tumour-purity","cell-composition-confound","intra-tumour-heterogeneity","tumour-evolution","censoring-and-events","prognosis-risk-percentile","clinical-covariates","endocrine-therapy-resistance","immunotherapy-response","tertiary-lymphoid-structures","pharmacogenomics-term","drug-response-sensitivity","cell-lines-as-proxy","co-amplification","copy-number-variation-term","cancer-drivers-vs-actionable","mrna-protein-concordance","post-transcriptional-regulation-term","pathway-activation-state","gene-co-expression","organ-of-origin-signal","spatial-autocorrelation","variant-effect-prediction","bulk-rna-seq","tpm-fpkm-counts","star-salmon","variant-calling","somatic-mutations-wxs-wgs","targeted-panel-sequencing","gistic","mutsig","batch-effects","gsea","single-cell-rna-seq","spatial-transcriptomics-platforms","h-and-e-staining","digital-pathology-wsi","tile-patch-encoding","magnification","methylation-arrays","microarray-expression","rppa","mass-spec-proteome","ehr-text-pathology-reports","radiology-imaging-modality","os-pfs-time-event","controlled-access-data","tcga-tiers","data-use-agreements","samd","research-use-only","analytical-vs-clinical-validation","hgnc-symbol","ensembl-gene-id","genome-builds","hgvs","icd-o-3","oncotree-term","ncit","mondo","hpo","uberon","units-ontology","rxnorm","ajcc-stage","tcga-barcode","provenance-fields","desmoplastic-stroma-rich","foundation-model","self-supervised-pretraining","masked-modelling","contrastive-learning","transformer-architecture","tokenisation","embedding","fine-tuning-vs-frozen","linear-probe","transfer-learning","zero-shot","autoregressive-modelling","multimodal-fusion","abmil","pathology-foundation-models","single-cell-foundation-models","genomic-and-protein-language-models","spagcn","virtual-cell-models","drug-response-splits","drug-response-baselines","domain-adaptation","mechanism-of-action-recovery","cross-validation","train-test-discipline","data-leakage","external-validation","concordance-index","calibration","roc-auc","accuracy-f1","time-dependent-auc","bootstrap","permutation-test","spearman-correlation","logistic-regression-term","ridge-regression","pca","quantile-normalisation","cross-entropy-mse","ablation-study","ood-detection","uncertainty-quantification","conformal-prediction","model-card","leaderboard-benchmark","reproducibility","pre-registered-experiment","open-weights","open-licences","hugging-face-hub","zenodo-doi","citation-cff","anndata-h5ad","hdf5-zarr-parquet","duckdb-catalog","mixed-precision-gpu","local-llm-reasoning-layer"],"trials":[],"people":[],"bottlenecks":[],"keyPapers":[],"journals":[],"dependsOn":[],"notes":["Research vocabulary, not clinical advice: models and metrics described here are research tools unless a page says a product is cleared or approved."],"provenance":{"editedBy":"OnCo CanSim terms wave","editedOn":"2026-09-24","note":"CanSim terms map 1.0.0 (docs/onco/terms.json, generated 2026-09-24), CC BY 4.0, attribution: CanSim project, an open, public-data-first cancer foundation-model programme"},"category":"Methods and models"},"route":"/terms/cancer-ai-vocabulary/","neighbours":{"idea":[{"id":"idea-data-open-cell-foundation-model","kind":"idea","name":"An open foundation model of the cancer cell trained on perturbation data","route":"/ideas/idea-data-open-cell-foundation-model/"},{"id":"idea-multimodal-foundation-model","kind":"idea","name":"Patient-level multimodal foundation models for treatment selection","route":"/ideas/idea-multimodal-foundation-model/"}],"collection":[{"id":"cptac","kind":"collection","name":"CPTAC (Clinical Proteomic Tumor Analysis 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