{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2007:XZONYMPB6WSZZEASR65TDJLL5X","short_pith_number":"pith:XZONYMPB","schema_version":"1.0","canonical_sha256":"be5cdc31e1f5a59c90128fbb31a56bedc35dc29399054dc0034e89ad509e0d2a","source":{"kind":"arxiv","id":"0707.1503","version":1},"attestation_state":"computed","paper":{"title":"ProbCD: enrichment analysis accounting for categorization uncertainty","license":"","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"q-bio.QM","authors_text":"Ilya Shmulevich, Ricardo V\\^encio","submitted_at":"2007-07-10T17:42:34Z","abstract_excerpt":"As in many other areas of science, systems biology makes extensive use of statistical association and significance estimates in contingency tables, a type of categorical data analysis known in this field as enrichment (also over-representation or enhancement) analysis. In spite of efforts to create probabilistic annotations, especially in the Gene Ontology context, or to deal with uncertainty in high throughput-based datasets, current enrichment methods largely ignore this probabilistic information since they are mainly based on variants of the Fisher Exact Test. We developed an open-source R "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"0707.1503","kind":"arxiv","version":1},"metadata":{"license":"","primary_cat":"q-bio.QM","submitted_at":"2007-07-10T17:42:34Z","cross_cats_sorted":["q-bio.GN"],"title_canon_sha256":"42f3226e82c24891b8abc676b38afbc760277381647d2cf9e3d8de715ad767e4","abstract_canon_sha256":"bd0af984527dac670e3909046ae97a2b641a1b0e7c2a8cfe53f2fb976fb3b942"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:09:15.666630Z","signature_b64":"FMlW/EiJjr0Uwdo+LSl5hzI+rJHvDV8K1B7J4typveT5QL2xDJZPf4ePjdfAWeUZhNKqVJ0UEJ1qsCTP1It8Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be5cdc31e1f5a59c90128fbb31a56bedc35dc29399054dc0034e89ad509e0d2a","last_reissued_at":"2026-05-18T04:09:15.666071Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:09:15.666071Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"ProbCD: enrichment analysis accounting for categorization uncertainty","license":"","headline":"","cross_cats":["q-bio.GN"],"primary_cat":"q-bio.QM","authors_text":"Ilya Shmulevich, Ricardo V\\^encio","submitted_at":"2007-07-10T17:42:34Z","abstract_excerpt":"As in many other areas of science, systems biology makes extensive use of statistical association and significance estimates in contingency tables, a type of categorical data analysis known in this field as enrichment (also over-representation or enhancement) analysis. In spite of efforts to create probabilistic annotations, especially in the Gene Ontology context, or to deal with uncertainty in high throughput-based datasets, current enrichment methods largely ignore this probabilistic information since they are mainly based on variants of the Fisher Exact Test. We developed an open-source R "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0707.1503","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"0707.1503","created_at":"2026-05-18T04:09:15.666147+00:00"},{"alias_kind":"arxiv_version","alias_value":"0707.1503v1","created_at":"2026-05-18T04:09:15.666147+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0707.1503","created_at":"2026-05-18T04:09:15.666147+00:00"},{"alias_kind":"pith_short_12","alias_value":"XZONYMPB6WSZ","created_at":"2026-05-18T12:25:56.245647+00:00"},{"alias_kind":"pith_short_16","alias_value":"XZONYMPB6WSZZEAS","created_at":"2026-05-18T12:25:56.245647+00:00"},{"alias_kind":"pith_short_8","alias_value":"XZONYMPB","created_at":"2026-05-18T12:25:56.245647+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X","json":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X.json","graph_json":"https://pith.science/api/pith-number/XZONYMPB6WSZZEASR65TDJLL5X/graph.json","events_json":"https://pith.science/api/pith-number/XZONYMPB6WSZZEASR65TDJLL5X/events.json","paper":"https://pith.science/paper/XZONYMPB"},"agent_actions":{"view_html":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X","download_json":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X.json","view_paper":"https://pith.science/paper/XZONYMPB","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=0707.1503&json=true","fetch_graph":"https://pith.science/api/pith-number/XZONYMPB6WSZZEASR65TDJLL5X/graph.json","fetch_events":"https://pith.science/api/pith-number/XZONYMPB6WSZZEASR65TDJLL5X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X/action/storage_attestation","attest_author":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X/action/author_attestation","sign_citation":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X/action/citation_signature","submit_replication":"https://pith.science/pith/XZONYMPB6WSZZEASR65TDJLL5X/action/replication_record"}},"created_at":"2026-05-18T04:09:15.666147+00:00","updated_at":"2026-05-18T04:09:15.666147+00:00"}