{"data":{"event":{"id":"7baff7c2-56bf-498f-a63a-0dbfd3d594fd","slug":"structured-cross-omics-interaction-discovery-with-a-triple-graph-model-dd2aa2985d","title":"\n\nStructured cross-omics interaction discovery with a triple-graph model \n\n","short_summary":"Multi-omics analyses often yield fragmented pairwise associations that obscure coordinated relationships among molecular features. We developed TriGer, a triple-graph framework that identifies many-to-many cross-omics modules by combining cross-layer associations with dependency structures within each layer. In simulations with sparse or nested signals, TriGer recovered planted modules while balancing sensitivity and specificity. In inflammatory bowel disease, it identified subtype-associated metabolite--transcript modules; in colorectal cancer, it identified genus--metabolite modules whose or","full_description":"Multi-omics analyses often yield fragmented pairwise associations that obscure coordinated relationships among molecular features. We developed TriGer, a triple-graph framework that identifies many-to-many cross-omics modules by combining cross-layer associations with dependency structures within each layer. In simulations with sparse or nested signals, TriGer recovered planted modules while balancing sensitivity and specificity. In inflammatory bowel disease, it identified subtype-associated metabolite--transcript modules; in colorectal cancer, it identified genus--metabolite modules whose organization was attenuated in cancer. TriGer provides an interpretable approach for studying coordinated cross-omics structure in high-dimensional molecular data.\n\nUpdate (2026-09-16): \n\nStructured cross-omics interaction discovery with a triple-graph model \n\n. Multi-omics analyses often yield fragmented pairwise associations that obscure coordinated relationships among molecular features. We developed TriGer, a triple-graph framework that identifies many-to-many cross-omics modules by combining cross-layer associations with dependency structures within each layer. In simulations with sparse or nested signals, TriGer recovered planted modules while balancing sensitivity and specificity. In inflammatory bowel disease, it identified subtype-associated metabolite--transcript modules; in colorectal cancer, it identified genus--metabolite modules whose organization was attenuated in cancer. TriGer provides an interpretable approach for studying coordinated cross-omics structure in high-dimensional molecular data.","ledger_type":"benefit","primary_domain_id":"fc7d617f-c9df-4b9f-b595-4408915ea380","event_status":"provisional","event_date":"2026-09-16T00:00:00.000Z","discovery_date":"2026-09-16T00:00:00.000Z","first_published_date":"2026-09-16T00:00:00.000Z","last_reviewed_date":"2026-09-16T00:00:00.000Z","geographic_scope":"International","affected_population":null,"base_impact_tier":1,"base_score":"1.00","attribution_multiplier":"0.7500","evidence_multiplier":"0.3500","realization_multiplier":"0.4000","durability_multiplier":"0.5000","current_event_score":"0.052500","confidence_level":"low","score_explanation":"Ingest update: raised attribution; raised evidence; raised realization. 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Attribution stays unspecified until a release is identified.","attribution_confidence":"medium","first_used_date":"2026-09-16T00:00:00.000Z","model_version_if_known":null,"review_status":"approved","created_at":"2026-09-16T17:00:48.654Z","model_slug":"unspecified-ai-system","model_name":"Unspecified AI system","identity_class":"unknown","is_internal":false,"family_name":"Unspecified","family_slug":"unknown-unspecified","organization_name":"Unknown","organization_slug":"unknown"}],"sources":[{"id":"c5f13882-70db-4c63-b662-f6d956ea7fa4","event_id":"7baff7c2-56bf-498f-a63a-0dbfd3d594fd","url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.749540v1?rss=1\n","canonical_url":"\nhttps://www.biorxiv.org/content/10.64898/2026.09.10.749540v1?rss=1\n","source_type":"preprint","publisher":"bioRxiv","author":null,"publication_date":"2026-09-16T00:00:00.000Z","retrieved_at":"2026-09-16T17:00:48.722Z","title":"\n\nStructured cross-omics interaction discovery with a triple-graph model \n\n","excerpt":"Multi-omics analyses often yield fragmented pairwise associations that obscure coordinated relationships among molecular features. We developed TriGer, a triple-graph framework that identifies many-to-many cross-omics modules by combining cross-layer associations with dependency structures within each layer. In simulations with sparse or nested signals, TriGer recovered planted modules while balancing sensitivity and specificity. In inflammatory bowel disease, it identified subtype-associated me","content_hash":null,"source_reliability_class":"medium","is_primary_source":true,"is_independent":true,"is_peer_reviewed":false,"archived_url":null,"created_at":"2026-09-16T17:00:48.722Z"}],"claims":[{"id":"5bafa64c-a0b1-458a-b437-444ca2def25e","event_id":"7baff7c2-56bf-498f-a63a-0dbfd3d594fd","claim_text":"\n\nStructured cross-omics interaction discovery with a triple-graph model \n\n","claim_type":"outcome","claim_status":"supported","confidence_score":null,"created_at":"2026-09-16T17:00:48.735Z","updated_at":"2026-09-16T17:00:48.735Z"}],"revisions":[{"id":"c1f29727-8f5f-4649-a500-9b9478500e29","event_id":"7baff7c2-56bf-498f-a63a-0dbfd3d594fd","model_id":null,"previous_score":"0.000000","new_score":"0.001000","previous_factors":{},"new_factors":{"evidence":0.1,"base_score":1,"durability":0.5,"attribution":0.1,"realization":0.2},"change_reason":"Auto-published from news ingest.","trigger_type":"news_ingest","trigger_source_ids":null,"reviewer_id":null,"review_status":"published","created_at":"2026-09-16T17:00:48.753Z"},{"id":"6c07f530-a433-4e68-bc99-a92e4c260d50","event_id":"7baff7c2-56bf-498f-a63a-0dbfd3d594fd","model_id":null,"previous_score":"0.001000","new_score":"0.052500","previous_factors":{"tier":1,"evidence":0.1,"base_score":1,"durability":0.5,"attribution":0.1,"realization":0.2},"new_factors":{"tier":1,"models":["535014f7-c941-4d39-aa9b-8f9c1d3d07b7"],"evidence":0.35,"base_score":1,"durability":0.5,"attribution":0.75,"realization":0.4},"change_reason":"Ingest update: raised attribution; raised evidence; raised realization.","trigger_type":"ingest_update","trigger_source_ids":["c5f13882-70db-4c63-b662-f6d956ea7fa4"],"reviewer_id":null,"review_status":"published","created_at":"2026-09-17T03:01:07.075Z"}],"secondary":[]},"methodology_version":"0.1"}