{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:QBNYHZKDOKGBVG6FY3RK6WYR5F","short_pith_number":"pith:QBNYHZKD","schema_version":"1.0","canonical_sha256":"805b83e543728c1a9bc5c6e2af5b11e973a949a505c3d2533ae1dc82b8b98c51","source":{"kind":"arxiv","id":"1801.04087","version":2},"attestation_state":"computed","paper":{"title":"Gene regulatory network inference: an introductory survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.MN"],"primary_cat":"q-bio.QM","authors_text":"Guido Sanguinetti, V\\^an Anh Huynh-Thu","submitted_at":"2018-01-12T08:37:36Z","abstract_excerpt":"Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-throughput measurement technologies in biology in the late 90s, reconstructing the structure of such networks has been a central computational problem in systems biology. While the problem is certainly not solved in its entirety, considerable progress has been made in the last two decades, with mature tools now available. This chapter aims to provide an introduction to the basic concepts underpinning network inference tools, attempting a categorisation which highlights commonalities and relative "},"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":"1801.04087","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2018-01-12T08:37:36Z","cross_cats_sorted":["q-bio.MN"],"title_canon_sha256":"5c5e4978d6cabe85aebd17a16209b369a71db5b26e101f26ef519abf9d40fdca","abstract_canon_sha256":"4fcdf98342c7e737d6f0ec6aa74d181d5e9d4cf346c98aeededc0cd3df9b2879"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:57:59.579982Z","signature_b64":"6HcEwCP09cGfm8gExYz/n5F5uQSbnmzyINYRh1H+dmuVEf3bG/vwKEBkPjYXVtebitAAx4q0YoHQlzoGI+l9AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"805b83e543728c1a9bc5c6e2af5b11e973a949a505c3d2533ae1dc82b8b98c51","last_reissued_at":"2026-05-17T23:57:59.579401Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:57:59.579401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Gene regulatory network inference: an introductory survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-bio.MN"],"primary_cat":"q-bio.QM","authors_text":"Guido Sanguinetti, V\\^an Anh Huynh-Thu","submitted_at":"2018-01-12T08:37:36Z","abstract_excerpt":"Gene regulatory networks are powerful abstractions of biological systems. Since the advent of high-throughput measurement technologies in biology in the late 90s, reconstructing the structure of such networks has been a central computational problem in systems biology. While the problem is certainly not solved in its entirety, considerable progress has been made in the last two decades, with mature tools now available. This chapter aims to provide an introduction to the basic concepts underpinning network inference tools, attempting a categorisation which highlights commonalities and relative "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.04087","kind":"arxiv","version":2},"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":"1801.04087","created_at":"2026-05-17T23:57:59.579486+00:00"},{"alias_kind":"arxiv_version","alias_value":"1801.04087v2","created_at":"2026-05-17T23:57:59.579486+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.04087","created_at":"2026-05-17T23:57:59.579486+00:00"},{"alias_kind":"pith_short_12","alias_value":"QBNYHZKDOKGB","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_16","alias_value":"QBNYHZKDOKGBVG6F","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_8","alias_value":"QBNYHZKD","created_at":"2026-05-18T12:32:46.962924+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/QBNYHZKDOKGBVG6FY3RK6WYR5F","json":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F.json","graph_json":"https://pith.science/api/pith-number/QBNYHZKDOKGBVG6FY3RK6WYR5F/graph.json","events_json":"https://pith.science/api/pith-number/QBNYHZKDOKGBVG6FY3RK6WYR5F/events.json","paper":"https://pith.science/paper/QBNYHZKD"},"agent_actions":{"view_html":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F","download_json":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F.json","view_paper":"https://pith.science/paper/QBNYHZKD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1801.04087&json=true","fetch_graph":"https://pith.science/api/pith-number/QBNYHZKDOKGBVG6FY3RK6WYR5F/graph.json","fetch_events":"https://pith.science/api/pith-number/QBNYHZKDOKGBVG6FY3RK6WYR5F/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F/action/storage_attestation","attest_author":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F/action/author_attestation","sign_citation":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F/action/citation_signature","submit_replication":"https://pith.science/pith/QBNYHZKDOKGBVG6FY3RK6WYR5F/action/replication_record"}},"created_at":"2026-05-17T23:57:59.579486+00:00","updated_at":"2026-05-17T23:57:59.579486+00:00"}