{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2013:YJLAWGW3MLI4FNMFRY527Y2Y2T","short_pith_number":"pith:YJLAWGW3","schema_version":"1.0","canonical_sha256":"c2560b1adb62d1c2b5858e3bafe358d4d6f61bda210205232b1652cf41f54e4d","source":{"kind":"arxiv","id":"1312.2404","version":1},"attestation_state":"computed","paper":{"title":"MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Gift Nyamundanda, Isobel Claire Gormley, Lorraine Brennan, William M Gallagher, Yue Fan","submitted_at":"2013-12-09T12:21:25Z","abstract_excerpt":"Background: Determining sample sizes for metabolomic experiments is important but due to the complexity of these experiments, there are currently no standard methods for sample size estimation in metabolomics. Since pilot studies are rarely done in metabolomics, currently existing sample size estimation approaches which rely on pilot data can not be applied.\n  Results: In this article, an analysis based approach called MetSizeR is developed to estimate sample size for metabolomic experiments even when experimental pilot data are not available. The key motivation for MetSizeR is that it conside"},"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":"1312.2404","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2013-12-09T12:21:25Z","cross_cats_sorted":[],"title_canon_sha256":"773f45b440e69fe31da72968bdfc0c8435a492063ab04ec123623d26ef2ba261","abstract_canon_sha256":"15d8f15f1d444f49491223b3d878f3fff1ec3144f85bcdcaa0516758eb2cec4e"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:01:33.147029Z","signature_b64":"3/vPSDLdgQQqrxC0HmWtXsU+CR4DghOlKyYCFW8tlO1F5P6dGeAE0IVYE2djgCz7s13ejNzwmxyJz+HdFgOvBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c2560b1adb62d1c2b5858e3bafe358d4d6f61bda210205232b1652cf41f54e4d","last_reissued_at":"2026-05-18T03:01:33.146537Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:01:33.146537Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"MetSizeR: selecting the optimal sample size for metabolomic studies using an analysis based approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.AP","authors_text":"Gift Nyamundanda, Isobel Claire Gormley, Lorraine Brennan, William M Gallagher, Yue Fan","submitted_at":"2013-12-09T12:21:25Z","abstract_excerpt":"Background: Determining sample sizes for metabolomic experiments is important but due to the complexity of these experiments, there are currently no standard methods for sample size estimation in metabolomics. Since pilot studies are rarely done in metabolomics, currently existing sample size estimation approaches which rely on pilot data can not be applied.\n  Results: In this article, an analysis based approach called MetSizeR is developed to estimate sample size for metabolomic experiments even when experimental pilot data are not available. The key motivation for MetSizeR is that it conside"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1312.2404","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":"1312.2404","created_at":"2026-05-18T03:01:33.146610+00:00"},{"alias_kind":"arxiv_version","alias_value":"1312.2404v1","created_at":"2026-05-18T03:01:33.146610+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1312.2404","created_at":"2026-05-18T03:01:33.146610+00:00"},{"alias_kind":"pith_short_12","alias_value":"YJLAWGW3MLI4","created_at":"2026-05-18T12:28:06.772260+00:00"},{"alias_kind":"pith_short_16","alias_value":"YJLAWGW3MLI4FNMF","created_at":"2026-05-18T12:28:06.772260+00:00"},{"alias_kind":"pith_short_8","alias_value":"YJLAWGW3","created_at":"2026-05-18T12:28:06.772260+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/YJLAWGW3MLI4FNMFRY527Y2Y2T","json":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T.json","graph_json":"https://pith.science/api/pith-number/YJLAWGW3MLI4FNMFRY527Y2Y2T/graph.json","events_json":"https://pith.science/api/pith-number/YJLAWGW3MLI4FNMFRY527Y2Y2T/events.json","paper":"https://pith.science/paper/YJLAWGW3"},"agent_actions":{"view_html":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T","download_json":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T.json","view_paper":"https://pith.science/paper/YJLAWGW3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1312.2404&json=true","fetch_graph":"https://pith.science/api/pith-number/YJLAWGW3MLI4FNMFRY527Y2Y2T/graph.json","fetch_events":"https://pith.science/api/pith-number/YJLAWGW3MLI4FNMFRY527Y2Y2T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T/action/storage_attestation","attest_author":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T/action/author_attestation","sign_citation":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T/action/citation_signature","submit_replication":"https://pith.science/pith/YJLAWGW3MLI4FNMFRY527Y2Y2T/action/replication_record"}},"created_at":"2026-05-18T03:01:33.146610+00:00","updated_at":"2026-05-18T03:01:33.146610+00:00"}