Cargando…

Identification of biomarkers associated with diagnosis of postmenopausal osteoporosis patients based on bioinformatics and machine learning

Background: Accumulating evidence suggests that postmenopausal osteoporosis (PMOP) is a common chronic systemic metabolic bone disease, but its specific molecular pathogenesis remains unclear. This study aimed to identify novel genetic diagnostic markers for PMOP. Methods: In this paper, we combined...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Xinzhou, Ma, Jinliang, Wei, Yongkun, Chen, Hui, Chu, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2023
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352088/ https://www.ncbi.nlm.nih.gov/pubmed/37465165 http://dx.doi.org/10.3389/fgene.2023.1198417

Ejemplares similares

Identification of Diagnostic Biomarkers in Systemic Lupus Erythematosus Based on Bioinformatics Analysis and Machine Learning
por: Jiang, Zhihang, et al.
Publicado: (2022)

Machine learning and bioinformatics analysis to identify autophagy-related biomarkers in peripheral blood for rheumatoid arthritis
por: Dong, Guoqi, et al.
Publicado: (2023)

Bioinformatic analysis and machine learning to identify the diagnostic biomarkers and immune infiltration in adenomyosis
por: Liu, Dan, et al.
Publicado: (2023)

Identification of hub genes associated with osteoporosis development by comprehensive bioinformatics analysis
por: Deng, Yuxuan, et al.
Publicado: (2023)

Identification and Validation of the Diagnostic Characteristic Genes of Ovarian Cancer by Bioinformatics and Machine Learning
por: Liu, Jinya, et al.
Publicado: (2022)

Identification of gene biomarkers in patients with postmenopausal osteoporosis
por: Yang, Chenggang, et al.
Publicado: (2019)

Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms
por: Liu, Chunjiang, et al.
Publicado: (2022)

Identification and validation of novel biomarkers associated with immune infiltration for the diagnosis of osteosarcoma based on machine learning
por: Ji, Yuqiao, et al.
Publicado: (2023)

Identification of effective diagnostic biomarker and immune cell infiltration characteristics in acute liver failure by integrating bioinformatics analysis and machine-learning strategies
por: Yuan, Mengqin, et al.
Publicado: (2022)

Identification of ferroptosis-associated biomarkers for the potential diagnosis and treatment of postmenopausal osteoporosis
por: Hu, Yunxiang, et al.
Publicado: (2022)

Identification of Biomarkers Associated with Diagnosis of Osteoarthritis Patients Based on Bioinformatics and Machine Learning
por: Liang, Yihao, et al.
Publicado: (2022)

Identification of Candidate Biomarkers for Salt Sensitivity of Blood Pressure by Integrated Bioinformatics Analysis
por: Chen, Chen, et al.
Publicado: (2020)

Identification of key immune genes of osteoporosis based on bioinformatics and machine learning
por: Hao, Song, et al.
Publicado: (2023)

Identification of immune-related genes in diagnosing retinopathy of prematurity with sepsis through bioinformatics analysis and machine learning
por: Chen, Han, et al.
Publicado: (2023)

Regulatory SNP of RREB1 is Associated With Bone Mineral Density in Chinese Postmenopausal Osteoporosis Patients
por: Feng, Shuo, et al.
Publicado: (2021)

Identification of the diagnostic genes and immune cell infiltration characteristics of gastric cancer using bioinformatics analysis and machine learning
por: Xie, Rongjun, et al.
Publicado: (2023)

Identification and Verification of Potential Biomarkers in Gastric Cancer By Integrated Bioinformatic Analysis
por: Sun, Chenyu, et al.
Publicado: (2022)

Identification and evaluation of circulating exosomal miRNAs for the diagnosis of postmenopausal osteoporosis
por: Sun, Zhibang, et al.
Publicado: (2023)

Identification of Metastasis-Associated Biomarkers in Synovial Sarcoma Using Bioinformatics Analysis
por: Song, Yan, et al.
Publicado: (2020)

Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms
por: Li, Weimin, et al.
Publicado: (2022)

Bioinformatics analysis identification of AKT3 and RAC1 as key genes in postmenopausal osteoporosis
por: Zhang, Liyong, et al.
Publicado: (2022)

Identification of biomarkers associated with diagnosis of acute lung injury based on bioinformatics and machine learning
por: Jing, Hekun, et al.
Publicado: (2023)

Identification of biomarkers related to sepsis diagnosis based on bioinformatics and machine learning and experimental verification
por: Wang, Qianfei, et al.
Publicado: (2023)

Identification of Hub Genes and Immune Infiltration in Psoriasis by Bioinformatics Method
por: Su, Wenxing, et al.
Publicado: (2021)

Identification of Potential Biomarkers in Association With Progression and Prognosis in Epithelial Ovarian Cancer by Integrated Bioinformatics Analysis
por: Liu, Jinhui, et al.
Publicado: (2019)

An application based on bioinformatics and machine learning for risk prediction of sepsis at first clinical presentation using transcriptomic data
por: Shi, Songchang, et al.
Publicado: (2022)

Identification of Potential Diagnostic and Prognostic Biomarkers for Gastric Cancer Based on Bioinformatic Analysis
por: Niu, Xiaoji, et al.
Publicado: (2022)

Identification and Validation of Ferroptosis-Related Biomarkers in Septic Cardiomyopathy via Bioinformatics Analysis
por: Gong, Cheng-Wu, et al.
Publicado: (2022)

Identification of biomarkers in nonalcoholic fatty liver disease: A machine learning method and experimental study
por: Han, Na, et al.
Publicado: (2022)

Identification of Potential Osteoporosis miRNA Biomarkers Using Bioinformatics Approaches
por: Lu, Wei, et al.
Publicado: (2021)

Breast Cancer Case Identification Based on Deep Learning and Bioinformatics Analysis
por: Jia, Dongfang, et al.
Publicado: (2021)

Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Parkinson’s disease
por: Zhao, Songyun, et al.
Publicado: (2022)

Evaluation of Biomarkers and Immune Microenvironment of Osteoarthritis: Evidence From Omics Data and Machine Learning
por: Liu, Zhixin, et al.
Publicado: (2022)

Identification and experimental validation of key m6A modification regulators as potential biomarkers of osteoporosis
por: Qiao, Yanchun, et al.
Publicado: (2023)

Identification and Verification of Feature Biomarkers Associated With Immune Cells in Dilated Cardiomyopathy by Bioinformatics Analysis
por: Zhu, Tingfang, et al.
Publicado: (2022)

Identification of novel biomarkers in septic cardiomyopathy via integrated bioinformatics analysis and experimental validation
por: Lu, Feng, et al.
Publicado: (2022)

Editorial: Bioinformatics analysis of omics data for biomarker identification in clinical research, Volume II
por: Sun, Mengtao, et al.
Publicado: (2023)

Machine Learning on Human Muscle Transcriptomic Data for Biomarker Discovery and Tissue-Specific Drug Target Identification
por: Mamoshina, Polina, et al.
Publicado: (2018)

Identification of Candidate Biomarkers Correlated With the Pathogenesis and Prognosis of Non-small Cell Lung Cancer via Integrated Bioinformatics Analysis
por: Ni, Mengwei, et al.
Publicado: (2018)

Identifying a possible new target for diagnosis and treatment of postmenopausal osteoporosis through bioinformatics and clinical sample analysis
por: Liu, Ting, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_980cpmqsnpcsmm7c12hgpbeb0e