Integrative Transcriptomic and Machine Learning Analysis Identifies JAG1 and NR2F2 in Keloid

Lingyi Yang, Wenshen Mo, Wendi Cao, Lin Mi, Xiaowei Wu

Open source

DOI: 10.2147/ccid.s625100
Published: 2026-09
Container: Clinical, Cosmetic and Investigational Dermatology
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.2147/ccid.s625100,
  title = {Integrative Transcriptomic and Machine Learning Analysis Identifies JAG1 and NR2F2 in Keloid},
  author = {Lingyi Yang and Wenshen Mo and Wendi Cao and Lin Mi and Xiaowei Wu},
  year = {2026},
  journal = {Clinical, Cosmetic and Investigational Dermatology},
  doi = {10.2147/ccid.s625100},
  url = {https://doi.org/10.2147/ccid.s625100}
}

RIS

TY  - JOUR
TI  - Integrative Transcriptomic and Machine Learning Analysis Identifies JAG1 and NR2F2 in Keloid
AU  - Lingyi Yang
AU  - Wenshen Mo
AU  - Wendi Cao
AU  - Lin Mi
AU  - Xiaowei Wu
PY  - 2026
JO  - Clinical, Cosmetic and Investigational Dermatology
DO  - 10.2147/ccid.s625100
UR  - https://doi.org/10.2147/ccid.s625100
ER  -

APA

Yang, L., Mo, W., Cao, W., Mi, L., & Wu, X. (2026). Integrative Transcriptomic and Machine Learning Analysis Identifies JAG1 and NR2F2 in Keloid. Clinical, Cosmetic and Investigational Dermatology. https://doi.org/10.2147/ccid.s625100

Source records

crossref · retrieved 2026-09-25T10:33:25.406Z