Identification and validation of cuproptosis related genes and signature markers in bronchopulmonary dysplasia disease using bioinformatics analysis and machine learning.

Jia, Mingxuan; Li, Jieyi; Zhang, Jingying; Wei, Ningjing; Yin, Yating; Chen, Hui; Yan, Shixing; Wang, Yong

Jia, Mingxuan; Li, Jieyi; Zhang, Jingying; Wei, Ningjing; Yin, Yating; Chen, Hui; Yan, Shixing; Wang, Yong.

Afiliação

Jia M; Adcote School Shanghai, Shanghai, 200000, China.
Li J; Shanghai Literature Institute of Traditional Chinese Medicine, Shanghai, 200000, China.
Zhang J; Shanghai Literature Institute of Traditional Chinese Medicine, Shanghai, 200000, China.
Wei N; ChengZheng Wisdom (Shanghai) Health Sciences and Technology Co., Ltd, Shanghai, 200000, China.
Yin Y; ChengZheng Wisdom (Shanghai) Health Sciences and Technology Co., Ltd, Shanghai, 200000, China.
Chen H; Shanghai Literature Institute of Traditional Chinese Medicine, Shanghai, 200000, China.
Yan S; Shanghai Daosh Medical Technology Co., Ltd, Shanghai, 200000, China.
Wang Y; Shanghai Literature Institute of Traditional Chinese Medicine, Shanghai, 200000, China. 345020240@qq.com.

BMC Med Inform Decis Mak ; 23(1): 69, 2023 04 14.

Article em En | MEDLINE | ID: mdl-37060021

Assuntos

Apoptose; Displasia Broncopulmonar; Humanos; Lactente; Recém-Nascido; Algoritmos; Displasia Broncopulmonar/genética; Análise por Conglomerados; Biologia Computacional; Recém-Nascido Prematuro; Cobre

Palavras-chave

Bioinformatics analysis; Biomarkers; Bronchopulmonary dysplasia disease; Cuproptosis; Machine learning

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Displasia Broncopulmonar / Apoptose Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Infant / Newborn Idioma: En Revista: BMC Med Inform Decis Mak Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

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