{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:YDIYSUSEJOMZMCWOHWD3WR23QB","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"b1fda373e60090783f53bb26332f3bb3df38c8be3e64279b058098d73ed00ea8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-08-12T03:07:33Z","title_canon_sha256":"01fbdf6fae4c4105e0485d04f07f96f7deac30579f77751e2db26ea58f074c0e"},"schema_version":"1.0","source":{"id":"1508.02803","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1508.02803","created_at":"2026-05-18T01:35:26Z"},{"alias_kind":"arxiv_version","alias_value":"1508.02803v1","created_at":"2026-05-18T01:35:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1508.02803","created_at":"2026-05-18T01:35:26Z"},{"alias_kind":"pith_short_12","alias_value":"YDIYSUSEJOMZ","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_16","alias_value":"YDIYSUSEJOMZMCWO","created_at":"2026-05-18T12:29:50Z"},{"alias_kind":"pith_short_8","alias_value":"YDIYSUSE","created_at":"2026-05-18T12:29:50Z"}],"graph_snapshots":[{"event_id":"sha256:a0aed420e16305c822a5eabd22a78cbc88a6783085c34596e252cd23d1cadf12","target":"graph","created_at":"2026-05-18T01:35:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"paper":{"abstract_excerpt":"Significant advances in biotechnology have allowed for simultaneous measurement of molecular data points across multiple genomic and transcriptomic levels from a single tumor/cancer sample. This has motivated systematic approaches to integrate multi-dimensional structured datasets since cancer development and progression is driven by numerous co-ordinated molecular alterations and the interactions between them. We propose a novel two-step Bayesian approach that combines a variable selection framework with integrative structure learning between multiple sources of data. The structure learning i","authors_text":"Bani K. Mallick, Ganiraju Manyam, Minsuk Shin, Suprateek Kundu, Veera Baladandayuthapani, Yichen Cheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-08-12T03:07:33Z","title":"Bayesian Variable Selection with Structure Learning: Applications in Integrative Genomics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1508.02803","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:9b7f6701140080a83600cacbdb14a797cad37910766007d7f81e27622ecc4d9c","target":"record","created_at":"2026-05-18T01:35:26Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"b1fda373e60090783f53bb26332f3bb3df38c8be3e64279b058098d73ed00ea8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2015-08-12T03:07:33Z","title_canon_sha256":"01fbdf6fae4c4105e0485d04f07f96f7deac30579f77751e2db26ea58f074c0e"},"schema_version":"1.0","source":{"id":"1508.02803","kind":"arxiv","version":1}},"canonical_sha256":"c0d18952444b99960ace3d87bb475b80458e420fe83ea97be112c721f0eb2ad9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c0d18952444b99960ace3d87bb475b80458e420fe83ea97be112c721f0eb2ad9","first_computed_at":"2026-05-18T01:35:26.136723Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:35:26.136723Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"z/w9msDQ0HNtUJfLxXutVT/fJMRGiAnLp3Qtd2t4oV3+R7+bmIFqDkVrVe1/itqzKGWM2lzgx8IBPPpBDq6RAw==","signature_status":"signed_v1","signed_at":"2026-05-18T01:35:26.137428Z","signed_message":"canonical_sha256_bytes"},"source_id":"1508.02803","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9b7f6701140080a83600cacbdb14a797cad37910766007d7f81e27622ecc4d9c","sha256:a0aed420e16305c822a5eabd22a78cbc88a6783085c34596e252cd23d1cadf12"],"state_sha256":"cdfa2fbadd8c390f82b795a4b82c1108369fd14e6c04af4da6b55d45cc86c505"}