{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:TOXOKHVX6ZUKKKB2Z67XFB42CP","short_pith_number":"pith:TOXOKHVX","canonical_record":{"source":{"id":"1710.01912","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2017-10-05T08:30:12Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"e4db114b6c5c32db05c91a45acf0553c80bcddf4360936e026148c86e25fee67","abstract_canon_sha256":"bb9ad06fef322eb7e532df4747efac2e709313f2ee0f81182630ceeaf02e4728"},"schema_version":"1.0"},"canonical_sha256":"9baee51eb7f668a5283acfbf72879a13f7559c775175cfa5ad67bfc04c664c93","source":{"kind":"arxiv","id":"1710.01912","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.01912","created_at":"2026-05-18T00:33:38Z"},{"alias_kind":"arxiv_version","alias_value":"1710.01912v1","created_at":"2026-05-18T00:33:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.01912","created_at":"2026-05-18T00:33:38Z"},{"alias_kind":"pith_short_12","alias_value":"TOXOKHVX6ZUK","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"TOXOKHVX6ZUKKKB2","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"TOXOKHVX","created_at":"2026-05-18T12:31:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:TOXOKHVX6ZUKKKB2Z67XFB42CP","target":"record","payload":{"canonical_record":{"source":{"id":"1710.01912","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2017-10-05T08:30:12Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"e4db114b6c5c32db05c91a45acf0553c80bcddf4360936e026148c86e25fee67","abstract_canon_sha256":"bb9ad06fef322eb7e532df4747efac2e709313f2ee0f81182630ceeaf02e4728"},"schema_version":"1.0"},"canonical_sha256":"9baee51eb7f668a5283acfbf72879a13f7559c775175cfa5ad67bfc04c664c93","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:33:38.088924Z","signature_b64":"EIblOS80Uo6zi502dsLSngdXpLAUjJA4XgKda3+2SjCL2LvGuGYx1Jr95ex5ipp8AqmX5HR/65qzRqWFf0bKCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9baee51eb7f668a5283acfbf72879a13f7559c775175cfa5ad67bfc04c664c93","last_reissued_at":"2026-05-18T00:33:38.088288Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:33:38.088288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.01912","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:33:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7qHAcxfwzpCvaPRsdoRyTT1trXqrUdGyZEomYQ5Aa/q+STKy2oQwDAFSQhYGfUpQqGPzWz7IPWOpTV6sABT7DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T10:04:38.977068Z"},"content_sha256":"86b06a73da7017b09a73f46efce591ac06d145bfb1d5a3cf3f69a6c868ca5fae","schema_version":"1.0","event_id":"sha256:86b06a73da7017b09a73f46efce591ac06d145bfb1d5a3cf3f69a6c868ca5fae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:TOXOKHVX6ZUKKKB2Z67XFB42CP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inferring gene expression networks with hubs using a degree weighted Lasso approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"q-bio.QM","authors_text":"Fr\\'ed\\'eric Burdet, Heinz Koeppl, Marco Pagni, Mark Ibberson, Nurgazy Sulaimanov, Sunil Kumar","submitted_at":"2017-10-05T08:30:12Z","abstract_excerpt":"Genome-scale gene networks contain regulatory genes called hubs that have many interaction partners. These genes usually play an essential role in gene regulation and cellular processes. Despite recent advancements in high-throughput technology, inferring gene networks with hub genes from high-dimensional data still remains a challenging problem. Novel statistical network inference methods are needed for efficient and accurate reconstruction of hub networks from high-dimensional data. To address this challenge we propose DW-Lasso, a degree weighted Lasso (least absolute shrinkage and selection"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.01912","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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:33:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SSJGMUWuTWaiEf6tU+PU1AZMgnkzeDXBALi4k45QkLhPfzGvwXiahswwN5JutwWhaT+1TaktX0Q7SEhl5gorAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-11T10:04:38.977418Z"},"content_sha256":"e7988430d281d32c653b711e37b04f2bc822e829559a764e2c2e331925434fe0","schema_version":"1.0","event_id":"sha256:e7988430d281d32c653b711e37b04f2bc822e829559a764e2c2e331925434fe0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TOXOKHVX6ZUKKKB2Z67XFB42CP/bundle.json","state_url":"https://pith.science/pith/TOXOKHVX6ZUKKKB2Z67XFB42CP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TOXOKHVX6ZUKKKB2Z67XFB42CP/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-11T10:04:38Z","links":{"resolver":"https://pith.science/pith/TOXOKHVX6ZUKKKB2Z67XFB42CP","bundle":"https://pith.science/pith/TOXOKHVX6ZUKKKB2Z67XFB42CP/bundle.json","state":"https://pith.science/pith/TOXOKHVX6ZUKKKB2Z67XFB42CP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TOXOKHVX6ZUKKKB2Z67XFB42CP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:TOXOKHVX6ZUKKKB2Z67XFB42CP","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":"bb9ad06fef322eb7e532df4747efac2e709313f2ee0f81182630ceeaf02e4728","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2017-10-05T08:30:12Z","title_canon_sha256":"e4db114b6c5c32db05c91a45acf0553c80bcddf4360936e026148c86e25fee67"},"schema_version":"1.0","source":{"id":"1710.01912","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.01912","created_at":"2026-05-18T00:33:38Z"},{"alias_kind":"arxiv_version","alias_value":"1710.01912v1","created_at":"2026-05-18T00:33:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.01912","created_at":"2026-05-18T00:33:38Z"},{"alias_kind":"pith_short_12","alias_value":"TOXOKHVX6ZUK","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_16","alias_value":"TOXOKHVX6ZUKKKB2","created_at":"2026-05-18T12:31:46Z"},{"alias_kind":"pith_short_8","alias_value":"TOXOKHVX","created_at":"2026-05-18T12:31:46Z"}],"graph_snapshots":[{"event_id":"sha256:e7988430d281d32c653b711e37b04f2bc822e829559a764e2c2e331925434fe0","target":"graph","created_at":"2026-05-18T00:33:38Z","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":"Genome-scale gene networks contain regulatory genes called hubs that have many interaction partners. These genes usually play an essential role in gene regulation and cellular processes. Despite recent advancements in high-throughput technology, inferring gene networks with hub genes from high-dimensional data still remains a challenging problem. Novel statistical network inference methods are needed for efficient and accurate reconstruction of hub networks from high-dimensional data. To address this challenge we propose DW-Lasso, a degree weighted Lasso (least absolute shrinkage and selection","authors_text":"Fr\\'ed\\'eric Burdet, Heinz Koeppl, Marco Pagni, Mark Ibberson, Nurgazy Sulaimanov, Sunil Kumar","cross_cats":["stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2017-10-05T08:30:12Z","title":"Inferring gene expression networks with hubs using a degree weighted Lasso approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.01912","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":"sha256:86b06a73da7017b09a73f46efce591ac06d145bfb1d5a3cf3f69a6c868ca5fae","target":"record","created_at":"2026-05-18T00:33:38Z","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":"bb9ad06fef322eb7e532df4747efac2e709313f2ee0f81182630ceeaf02e4728","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.QM","submitted_at":"2017-10-05T08:30:12Z","title_canon_sha256":"e4db114b6c5c32db05c91a45acf0553c80bcddf4360936e026148c86e25fee67"},"schema_version":"1.0","source":{"id":"1710.01912","kind":"arxiv","version":1}},"canonical_sha256":"9baee51eb7f668a5283acfbf72879a13f7559c775175cfa5ad67bfc04c664c93","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9baee51eb7f668a5283acfbf72879a13f7559c775175cfa5ad67bfc04c664c93","first_computed_at":"2026-05-18T00:33:38.088288Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:33:38.088288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EIblOS80Uo6zi502dsLSngdXpLAUjJA4XgKda3+2SjCL2LvGuGYx1Jr95ex5ipp8AqmX5HR/65qzRqWFf0bKCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:33:38.088924Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.01912","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:86b06a73da7017b09a73f46efce591ac06d145bfb1d5a3cf3f69a6c868ca5fae","sha256:e7988430d281d32c653b711e37b04f2bc822e829559a764e2c2e331925434fe0"],"state_sha256":"9287e8d489e601ba86cae809bcc2e3d2e1e18d3b1e98b57fd506b75afd693d39"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5DKcSf0hQA8+h2481uCuHc/oi4PxL0FRstV/wSDXe3FqwlVAnOlWQiNmOoTA4P+hW5jzVFzpLi5f4YsWzUDdBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-11T10:04:38.979279Z","bundle_sha256":"3281f8ee02470da59d4d13ff1a25a8fcd55d47671066913e31ded57c3e70b72f"}}