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Multi-omics integration and machine learning identify a novel gene signature consisting of CCDC141, CHI3L2, RIMKLB, and PDLIM7 in bronchopulmonary dysplasia associated with neutrophil-driven immune dysregulation

Crossref DOI link: https://doi.org/10.1016/j.clinsp.2026.101059

Published Print: 2026-01

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Sun, Yanchun https://orcid.org/0009-0003-9422-5605
You, Jingye https://orcid.org/0009-0000-3685-3097
Tao, Jinhao

Dai, Jiale

Chen, Aiju

Luo, Fei

Chen, Yun https://orcid.org/0009-0004-7573-5690
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Text and Data Mining valid from 2026-01-01

Text and Data Mining valid from 2026-01-01

Version of Record valid from 2026-07-10
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This article is maintained by: Elsevier

Article Title: Multi-omics integration and machine learning identify a novel gene signature consisting of CCDC141, CHI3L2, RIMKLB, and PDLIM7 in bronchopulmonary dysplasia associated with neutrophil-driven immune dysregulation

Journal Title: Clinics

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.clinsp.2026.101059

Content Type: article

Copyright: © 2026 HCFMUSP. Published by Elsevier España, S.L.U.

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