{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:LPZMAWVJJHM3HZ7IFXSRR3WBU5","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":"821cefc02a066e91728b57714e5320b5547d1779ed635dc68862dde3c7155e84","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-04-12T01:43:31Z","title_canon_sha256":"2bae37a7bcb95ba584873a25b37e4f6436d1445a56f823864c6677102d4d6b36"},"schema_version":"1.0","source":{"id":"1704.03590","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1704.03590","created_at":"2026-05-18T00:11:43Z"},{"alias_kind":"arxiv_version","alias_value":"1704.03590v1","created_at":"2026-05-18T00:11:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1704.03590","created_at":"2026-05-18T00:11:43Z"},{"alias_kind":"pith_short_12","alias_value":"LPZMAWVJJHM3","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_16","alias_value":"LPZMAWVJJHM3HZ7I","created_at":"2026-05-18T12:31:28Z"},{"alias_kind":"pith_short_8","alias_value":"LPZMAWVJ","created_at":"2026-05-18T12:31:28Z"}],"graph_snapshots":[{"event_id":"sha256:1853bfe298454552f24aa806dc0e6f6dd5714d87ea2c0d0650014bc9cc0c6a3b","target":"graph","created_at":"2026-05-18T00:11:43Z","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":"Unwanted variation can be highly problematic and so its detection is often crucial. Relative log expression (RLE) plots are a powerful tool for visualising such variation in high dimensional data. We provide a detailed examination of these plots, with the aid of examples and simulation, explaining what they are and what they can reveal. RLE plots are particularly useful for assessing whether a procedure aimed at removing unwanted variation, i.e. a normalisation procedure, has been successful. These plots, while originally devised for gene expression data from microarrays, can also be used to r","authors_text":"Luke C. Gandolfo, Terence P. Speed","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-04-12T01:43:31Z","title":"RLE Plots: Visualising Unwanted Variation in High Dimensional Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1704.03590","kind":"arxiv","version":1},"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":"sha256:22d913781c85e96c1d077847df81a4eda3d71df6ed74d8f7250c0de0122642c3","target":"record","created_at":"2026-05-18T00:11:43Z","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":"821cefc02a066e91728b57714e5320b5547d1779ed635dc68862dde3c7155e84","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-04-12T01:43:31Z","title_canon_sha256":"2bae37a7bcb95ba584873a25b37e4f6436d1445a56f823864c6677102d4d6b36"},"schema_version":"1.0","source":{"id":"1704.03590","kind":"arxiv","version":1}},"canonical_sha256":"5bf2c05aa949d9b3e7e82de518eec1a7477e9a069216eef3a700c8681ad0e577","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bf2c05aa949d9b3e7e82de518eec1a7477e9a069216eef3a700c8681ad0e577","first_computed_at":"2026-05-18T00:11:43.758909Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:11:43.758909Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UqOGHbGdC24EJa8f7Y/PcJlPSRrCMS9h2zTozq+2QnwGjA6JH9YWAK8R30dsKx5DHXeIjOajR84T5GfP90RaCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:11:43.759645Z","signed_message":"canonical_sha256_bytes"},"source_id":"1704.03590","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:22d913781c85e96c1d077847df81a4eda3d71df6ed74d8f7250c0de0122642c3","sha256:1853bfe298454552f24aa806dc0e6f6dd5714d87ea2c0d0650014bc9cc0c6a3b"],"state_sha256":"2399393cd9c72b65c4db659828f95bbf2201ea6f529655abc4fa533d13156be2"}