{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:7WL6IV7TGM7BG4BEUNIHSNRUGR","short_pith_number":"pith:7WL6IV7T","schema_version":"1.0","canonical_sha256":"fd97e457f3333e137024a35079363434751ff387c867004785c24f0c775ca5a1","source":{"kind":"arxiv","id":"1704.02069","version":2},"attestation_state":"computed","paper":{"title":"Prediction with Dimension Reduction of Multiple Molecular Data Sources for Patient Survival","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"q-bio.QM","authors_text":"Adam Kaplan, Eric F. Lock","submitted_at":"2017-04-07T02:01:32Z","abstract_excerpt":"Predictive modeling from high-dimensional genomic data is often preceded by a dimension reduction step, such as principal components analysis (PCA). However, the application of PCA is not straightforward for multi-source data, wherein multiple sources of 'omics data measure different but related biological components. In this article we utilize recent advances in the dimension reduction of multi-source data for predictive modeling. In particular, we apply exploratory results from Joint and Individual Variation Explained (JIVE), an extension of PCA for multi-source data, for prediction of diffe"},"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":"1704.02069","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2017-04-07T02:01:32Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"3ec1c50a1b3ea0b071496ea795ff5f9c63b96f77c4ebd77b3bb4493139dab6bf","abstract_canon_sha256":"109a6c3476ad0e11e5294bd9398698864c042a69764d487cfa514af252d22d50"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:40:06.396850Z","signature_b64":"00UTJ54Ysee0aXa5DMKQJUczxG8ELZahGLEncwK2U68e7JcE86fIY4W+lo/qfn8LJNQ6e25X6XL9P8JtYzVtDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fd97e457f3333e137024a35079363434751ff387c867004785c24f0c775ca5a1","last_reissued_at":"2026-05-18T00:40:06.396191Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:40:06.396191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Prediction with Dimension Reduction of Multiple Molecular Data Sources for Patient Survival","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"q-bio.QM","authors_text":"Adam Kaplan, Eric F. Lock","submitted_at":"2017-04-07T02:01:32Z","abstract_excerpt":"Predictive modeling from high-dimensional genomic data is often preceded by a dimension reduction step, such as principal components analysis (PCA). However, the application of PCA is not straightforward for multi-source data, wherein multiple sources of 'omics data measure different but related biological components. In this article we utilize recent advances in the dimension reduction of multi-source data for predictive modeling. In particular, we apply exploratory results from Joint and Individual Variation Explained (JIVE), an extension of PCA for multi-source data, for prediction of diffe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.02069","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":"1704.02069","created_at":"2026-05-18T00:40:06.396290+00:00"},{"alias_kind":"arxiv_version","alias_value":"1704.02069v2","created_at":"2026-05-18T00:40:06.396290+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.02069","created_at":"2026-05-18T00:40:06.396290+00:00"},{"alias_kind":"pith_short_12","alias_value":"7WL6IV7TGM7B","created_at":"2026-05-18T12:31:05.417338+00:00"},{"alias_kind":"pith_short_16","alias_value":"7WL6IV7TGM7BG4BE","created_at":"2026-05-18T12:31:05.417338+00:00"},{"alias_kind":"pith_short_8","alias_value":"7WL6IV7T","created_at":"2026-05-18T12:31:05.417338+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/7WL6IV7TGM7BG4BEUNIHSNRUGR","json":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR.json","graph_json":"https://pith.science/api/pith-number/7WL6IV7TGM7BG4BEUNIHSNRUGR/graph.json","events_json":"https://pith.science/api/pith-number/7WL6IV7TGM7BG4BEUNIHSNRUGR/events.json","paper":"https://pith.science/paper/7WL6IV7T"},"agent_actions":{"view_html":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR","download_json":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR.json","view_paper":"https://pith.science/paper/7WL6IV7T","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1704.02069&json=true","fetch_graph":"https://pith.science/api/pith-number/7WL6IV7TGM7BG4BEUNIHSNRUGR/graph.json","fetch_events":"https://pith.science/api/pith-number/7WL6IV7TGM7BG4BEUNIHSNRUGR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR/action/storage_attestation","attest_author":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR/action/author_attestation","sign_citation":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR/action/citation_signature","submit_replication":"https://pith.science/pith/7WL6IV7TGM7BG4BEUNIHSNRUGR/action/replication_record"}},"created_at":"2026-05-18T00:40:06.396290+00:00","updated_at":"2026-05-18T00:40:06.396290+00:00"}