{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2019:AWQT6SC5WPOCCOJCSMIZRKW475","short_pith_number":"pith:AWQT6SC5","schema_version":"1.0","canonical_sha256":"05a13f485db3dc213922931198aadcff6e8c14cacff774ae6518e83c2e60e3e6","source":{"kind":"arxiv","id":"1902.08138","version":1},"attestation_state":"computed","paper":{"title":"A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","q-bio.GN","q-bio.MN","q-bio.QM"],"primary_cat":"stat.ML","authors_text":"Cassandra Burdziak, Dana Pe'er, Elham Azizi, Sandhya Prabhakaran","submitted_at":"2019-02-21T16:55:28Z","abstract_excerpt":"We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types and their underlying gene regulatory networks by integrating data from two views: single-cell gene expression data and paired epigenetic data, which is informative of gene-gene interactions. This model improves interpretation of clusters as cell types with similar expression patterns as well as regulatory networks driving expression, by explaining gene-gene covariances with the biological machinery regulating gene expression. We show the theoretical a"},"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":"1902.08138","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"stat.ML","submitted_at":"2019-02-21T16:55:28Z","cross_cats_sorted":["cs.LG","q-bio.GN","q-bio.MN","q-bio.QM"],"title_canon_sha256":"ec13edb289cd8de90f2697c3f2f415b264889611dfc90d3af258625e1d364044","abstract_canon_sha256":"0b8db766ba4371ade8dbc3c3276ab44e972942a171d659dfbf70c4fa286167ce"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:53:01.972980Z","signature_b64":"QnXRiwqxElihO0UvSn+NTzvGbofd23qEn/HiWHOkjq9Bpj9RMsfg8DLEniO2rDTGmqSFX5yKO5Wh+bg9Tf0QDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"05a13f485db3dc213922931198aadcff6e8c14cacff774ae6518e83c2e60e3e6","last_reissued_at":"2026-05-17T23:53:01.972268Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:53:01.972268Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"A Nonparametric Multi-view Model for Estimating Cell Type-Specific Gene Regulatory Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.LG","q-bio.GN","q-bio.MN","q-bio.QM"],"primary_cat":"stat.ML","authors_text":"Cassandra Burdziak, Dana Pe'er, Elham Azizi, Sandhya Prabhakaran","submitted_at":"2019-02-21T16:55:28Z","abstract_excerpt":"We present a Bayesian hierarchical multi-view mixture model termed Symphony that simultaneously learns clusters of cells representing cell types and their underlying gene regulatory networks by integrating data from two views: single-cell gene expression data and paired epigenetic data, which is informative of gene-gene interactions. This model improves interpretation of clusters as cell types with similar expression patterns as well as regulatory networks driving expression, by explaining gene-gene covariances with the biological machinery regulating gene expression. We show the theoretical a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.08138","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":"1902.08138","created_at":"2026-05-17T23:53:01.972411+00:00"},{"alias_kind":"arxiv_version","alias_value":"1902.08138v1","created_at":"2026-05-17T23:53:01.972411+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.08138","created_at":"2026-05-17T23:53:01.972411+00:00"},{"alias_kind":"pith_short_12","alias_value":"AWQT6SC5WPOC","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_16","alias_value":"AWQT6SC5WPOCCOJC","created_at":"2026-05-18T12:33:12.712433+00:00"},{"alias_kind":"pith_short_8","alias_value":"AWQT6SC5","created_at":"2026-05-18T12:33:12.712433+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/AWQT6SC5WPOCCOJCSMIZRKW475","json":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475.json","graph_json":"https://pith.science/api/pith-number/AWQT6SC5WPOCCOJCSMIZRKW475/graph.json","events_json":"https://pith.science/api/pith-number/AWQT6SC5WPOCCOJCSMIZRKW475/events.json","paper":"https://pith.science/paper/AWQT6SC5"},"agent_actions":{"view_html":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475","download_json":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475.json","view_paper":"https://pith.science/paper/AWQT6SC5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1902.08138&json=true","fetch_graph":"https://pith.science/api/pith-number/AWQT6SC5WPOCCOJCSMIZRKW475/graph.json","fetch_events":"https://pith.science/api/pith-number/AWQT6SC5WPOCCOJCSMIZRKW475/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475/action/timestamp_anchor","attest_storage":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475/action/storage_attestation","attest_author":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475/action/author_attestation","sign_citation":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475/action/citation_signature","submit_replication":"https://pith.science/pith/AWQT6SC5WPOCCOJCSMIZRKW475/action/replication_record"}},"created_at":"2026-05-17T23:53:01.972411+00:00","updated_at":"2026-05-17T23:53:01.972411+00:00"}