{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:UENU2U5EOS3O7T52NBP4YAM4SY","short_pith_number":"pith:UENU2U5E","schema_version":"1.0","canonical_sha256":"a11b4d53a474b6efcfba685fcc019c963167ce5c754e1b58a3e967f46d747783","source":{"kind":"arxiv","id":"1203.4359","version":1},"attestation_state":"computed","paper":{"title":"Bayesian joint modeling of multiple gene networks and diverse genomic data to identify target genes of a transcription factor","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Peng Wei, Wei Pan","submitted_at":"2012-03-20T09:52:53Z","abstract_excerpt":"We consider integrative modeling of multiple gene networks and diverse genomic data, including protein-DNA binding, gene expression and DNA sequence data, to accurately identify the regulatory target genes of a transcription factor (TF). Rather than treating all the genes equally and independently a priori in existing joint modeling approaches, we incorporate the biological prior knowledge that neighboring genes on a gene network tend to be (or not to be) regulated together by a TF. A key contribution of our work is that, to maximize the use of all existing biological knowledge, we allow incor"},"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":"1203.4359","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2012-03-20T09:52:53Z","cross_cats_sorted":[],"title_canon_sha256":"1cfc8cbe677910860c3fc29f71bea16d43d6ba5551ba2c441ec242c4aae65f5e","abstract_canon_sha256":"e3341fa7794e65ecc211e851efeea566dc5050f6a7c202f20c4c47aed413f939"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:59:39.265095Z","signature_b64":"HjTrOix7zOREh1GefnwkGn/okIl8BMUift59jPee9quj3pxbT+Z66nlk6c27dsJ8huDBGw4SIrdMuQhRCbMUAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a11b4d53a474b6efcfba685fcc019c963167ce5c754e1b58a3e967f46d747783","last_reissued_at":"2026-05-18T03:59:39.264305Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:59:39.264305Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Bayesian joint modeling of multiple gene networks and diverse genomic data to identify target genes of a transcription factor","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Peng Wei, Wei Pan","submitted_at":"2012-03-20T09:52:53Z","abstract_excerpt":"We consider integrative modeling of multiple gene networks and diverse genomic data, including protein-DNA binding, gene expression and DNA sequence data, to accurately identify the regulatory target genes of a transcription factor (TF). Rather than treating all the genes equally and independently a priori in existing joint modeling approaches, we incorporate the biological prior knowledge that neighboring genes on a gene network tend to be (or not to be) regulated together by a TF. A key contribution of our work is that, to maximize the use of all existing biological knowledge, we allow incor"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1203.4359","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":"1203.4359","created_at":"2026-05-18T03:59:39.264437+00:00"},{"alias_kind":"arxiv_version","alias_value":"1203.4359v1","created_at":"2026-05-18T03:59:39.264437+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1203.4359","created_at":"2026-05-18T03:59:39.264437+00:00"},{"alias_kind":"pith_short_12","alias_value":"UENU2U5EOS3O","created_at":"2026-05-18T12:27:23.164592+00:00"},{"alias_kind":"pith_short_16","alias_value":"UENU2U5EOS3O7T52","created_at":"2026-05-18T12:27:23.164592+00:00"},{"alias_kind":"pith_short_8","alias_value":"UENU2U5E","created_at":"2026-05-18T12:27:23.164592+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/UENU2U5EOS3O7T52NBP4YAM4SY","json":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY.json","graph_json":"https://pith.science/api/pith-number/UENU2U5EOS3O7T52NBP4YAM4SY/graph.json","events_json":"https://pith.science/api/pith-number/UENU2U5EOS3O7T52NBP4YAM4SY/events.json","paper":"https://pith.science/paper/UENU2U5E"},"agent_actions":{"view_html":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY","download_json":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY.json","view_paper":"https://pith.science/paper/UENU2U5E","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1203.4359&json=true","fetch_graph":"https://pith.science/api/pith-number/UENU2U5EOS3O7T52NBP4YAM4SY/graph.json","fetch_events":"https://pith.science/api/pith-number/UENU2U5EOS3O7T52NBP4YAM4SY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY/action/storage_attestation","attest_author":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY/action/author_attestation","sign_citation":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY/action/citation_signature","submit_replication":"https://pith.science/pith/UENU2U5EOS3O7T52NBP4YAM4SY/action/replication_record"}},"created_at":"2026-05-18T03:59:39.264437+00:00","updated_at":"2026-05-18T03:59:39.264437+00:00"}