{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:2RJDP6KUKH6JUUU4SBTCMZQ7CR","short_pith_number":"pith:2RJDP6KU","schema_version":"1.0","canonical_sha256":"d45237f95451fc9a529c906626661f147ac0937ba33222c74b00e2fa9e9cc80b","source":{"kind":"arxiv","id":"1211.6834","version":1},"attestation_state":"computed","paper":{"title":"On unbiased performance evaluation for protein inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.QM"],"primary_cat":"stat.AP","authors_text":"Peijun Zhu, Ting Huang, Zengyou He","submitted_at":"2012-11-29T07:54:45Z","abstract_excerpt":"This letter is a response to the comments of Serang (2012) on Huang and He (2012) in Bioinformatics. Serang (2012) claimed that the parameters for the Fido algorithm should be specified using the grid search method in Serang et al. (2010) so as to generate a deserved accuracy in performance comparison. It seems that it is an argument on parameter tuning. However, it is indeed the issue of how to conduct an unbiased performance evaluation for comparing different protein inference algorithms. In this letter, we would explain why we don't use the grid search for parameter selection in Huang and H"},"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":"1211.6834","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2012-11-29T07:54:45Z","cross_cats_sorted":["cs.LG","q-bio.QM"],"title_canon_sha256":"3bcc4c71412181e8838129836a197ade2f9f2a51202fe83947eb8663012b34c3","abstract_canon_sha256":"cfb7f5737692994afe7feab6266a74d47c169b086098f4d32e52990029ac25e4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:39:42.931554Z","signature_b64":"J/qcz+/NduZQ0B9WUXAXUtoc+oJahkBve85Elyw6wi6Zq3GU2+W0C7UMcxAGL0z8gLZ3Swvy2GVip4R7bEGvCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d45237f95451fc9a529c906626661f147ac0937ba33222c74b00e2fa9e9cc80b","last_reissued_at":"2026-05-18T03:39:42.931036Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:39:42.931036Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"On unbiased performance evaluation for protein inference","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","q-bio.QM"],"primary_cat":"stat.AP","authors_text":"Peijun Zhu, Ting Huang, Zengyou He","submitted_at":"2012-11-29T07:54:45Z","abstract_excerpt":"This letter is a response to the comments of Serang (2012) on Huang and He (2012) in Bioinformatics. Serang (2012) claimed that the parameters for the Fido algorithm should be specified using the grid search method in Serang et al. (2010) so as to generate a deserved accuracy in performance comparison. It seems that it is an argument on parameter tuning. However, it is indeed the issue of how to conduct an unbiased performance evaluation for comparing different protein inference algorithms. In this letter, we would explain why we don't use the grid search for parameter selection in Huang and H"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1211.6834","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":"1211.6834","created_at":"2026-05-18T03:39:42.931122+00:00"},{"alias_kind":"arxiv_version","alias_value":"1211.6834v1","created_at":"2026-05-18T03:39:42.931122+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1211.6834","created_at":"2026-05-18T03:39:42.931122+00:00"},{"alias_kind":"pith_short_12","alias_value":"2RJDP6KUKH6J","created_at":"2026-05-18T12:26:50.516681+00:00"},{"alias_kind":"pith_short_16","alias_value":"2RJDP6KUKH6JUUU4","created_at":"2026-05-18T12:26:50.516681+00:00"},{"alias_kind":"pith_short_8","alias_value":"2RJDP6KU","created_at":"2026-05-18T12:26:50.516681+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/2RJDP6KUKH6JUUU4SBTCMZQ7CR","json":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR.json","graph_json":"https://pith.science/api/pith-number/2RJDP6KUKH6JUUU4SBTCMZQ7CR/graph.json","events_json":"https://pith.science/api/pith-number/2RJDP6KUKH6JUUU4SBTCMZQ7CR/events.json","paper":"https://pith.science/paper/2RJDP6KU"},"agent_actions":{"view_html":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR","download_json":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR.json","view_paper":"https://pith.science/paper/2RJDP6KU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1211.6834&json=true","fetch_graph":"https://pith.science/api/pith-number/2RJDP6KUKH6JUUU4SBTCMZQ7CR/graph.json","fetch_events":"https://pith.science/api/pith-number/2RJDP6KUKH6JUUU4SBTCMZQ7CR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR/action/storage_attestation","attest_author":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR/action/author_attestation","sign_citation":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR/action/citation_signature","submit_replication":"https://pith.science/pith/2RJDP6KUKH6JUUU4SBTCMZQ7CR/action/replication_record"}},"created_at":"2026-05-18T03:39:42.931122+00:00","updated_at":"2026-05-18T03:39:42.931122+00:00"}