{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WHZJJQKCIVBCDNSSIEN6RQIPMV","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":"f5fa05b574474bcffdf623ece6694d27f148040c23fdca34c0cbe6e348559348","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-07-11T14:30:48Z","title_canon_sha256":"c3dee3bb455bf1aedba26b65d2f9423dfb0da02ce7f9aae0d0b5225d3f4a6b9b"},"schema_version":"1.0","source":{"id":"1707.03301","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.03301","created_at":"2026-05-17T23:46:04Z"},{"alias_kind":"arxiv_version","alias_value":"1707.03301v2","created_at":"2026-05-17T23:46:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.03301","created_at":"2026-05-17T23:46:04Z"},{"alias_kind":"pith_short_12","alias_value":"WHZJJQKCIVBC","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WHZJJQKCIVBCDNSS","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WHZJJQKC","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:bb14610489b9b5ee9011813d5fd383d96a82969cce7c2d763475c8ceb4a43f57","target":"graph","created_at":"2026-05-17T23:46:04Z","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":"Due to the rapid development of high-throughput experimental techniques and fast-dropping prices, many transcriptomic datasets have been generated and accumulated in the public domain. Meta-analysis combining multiple transcriptomic studies can increase the statistical power to detect disease-related biomarkers. In this paper, we introduce a Bayesian latent hierarchical model to perform transcriptomic meta-analysis. This method is capable of detecting genes that are differentially expressed (DE) in only a subset of the combined studies, and the latent variables help quantify homogeneous and he","authors_text":"Chi Song, George Tseng, Zhiguang Huo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-07-11T14:30:48Z","title":"Bayesian latent hierarchical model for transcriptomic meta-analysis to detect biomarkers with clustered meta-patterns of differential expression signals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.03301","kind":"arxiv","version":2},"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:ddf7b68d0a0c363ce5b704bc468ad57463c024ba850373316c3c5e6e433e4e21","target":"record","created_at":"2026-05-17T23:46:04Z","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":"f5fa05b574474bcffdf623ece6694d27f148040c23fdca34c0cbe6e348559348","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2017-07-11T14:30:48Z","title_canon_sha256":"c3dee3bb455bf1aedba26b65d2f9423dfb0da02ce7f9aae0d0b5225d3f4a6b9b"},"schema_version":"1.0","source":{"id":"1707.03301","kind":"arxiv","version":2}},"canonical_sha256":"b1f294c142454221b652411be8c10f6558b1397869eb23e4cafb444d1f584985","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1f294c142454221b652411be8c10f6558b1397869eb23e4cafb444d1f584985","first_computed_at":"2026-05-17T23:46:04.554807Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:04.554807Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UUw+pabcQAHJGz7bqnlt9XLi7xGKCVqZ1zHPlwndZbiqIsmGetFlv6/BFuyd6OP2DFSasPm0Dvfv3x/PF2gPBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:04.555426Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.03301","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ddf7b68d0a0c363ce5b704bc468ad57463c024ba850373316c3c5e6e433e4e21","sha256:bb14610489b9b5ee9011813d5fd383d96a82969cce7c2d763475c8ceb4a43f57"],"state_sha256":"95ed7b0913e4ec24cbfe370df0ebfaa72fdb8290d171efb56e9cc86d3d24fb6b"}