Cargando…

Identification and validation of differentially expressed chromatin regulators for diagnosis of aortic dissection using integrated bioinformatics analysis and machine-learning algorithms

Background: Aortic dissection (AD) is a life-threatening disease. Chromatin regulators (CRs) are indispensable epigenetic regulators. We aimed to identify differentially expressed chromatin regulators (DECRs) for AD diagnosis. Methods: We downloaded the GSE52093 and GSE190635 datasets from the Gene...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Chunjiang, Zhou, Yufei, Zhao, Di, Yu, Luchen, Zhou, Yue, Xu, Miaojun, Tang, Liming
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403720/ https://www.ncbi.nlm.nih.gov/pubmed/36035141 http://dx.doi.org/10.3389/fgene.2022.950613

Ejemplares similares

Immune-associated biomarkers identification for diagnosing carotid plaque progression with uremia through systematical bioinformatics and machine learning analysis
por: Liu, Chunjiang, 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 biomarkers associated with diagnosis of postmenopausal osteoporosis patients based on bioinformatics and machine learning
por: Huang, Xinzhou, et al.
Publicado: (2023)

Identification and Validation of Potential Pathogenic Genes and Prognostic Markers in ESCC by Integrated Bioinformatics Analysis
por: Tang, Lu, et al.
Publicado: (2020)

Combining Bioinformatics Techniques to Study the Key Immune-Related Genes in Abdominal Aortic Aneurysm
por: Nie, Han, et al.
Publicado: (2020)

Predicting the Key Genes Involved in Aortic Valve Calcification Through Integrated Bioinformatics Analysis
por: Wang, Dinghui, et al.
Publicado: (2021)

Machine learning and bioinformatics-based insights into the potential targets of saponins in Paris polyphylla smith against non-small cell lung cancer
por: Wang, Yue, 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)

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

Identification of Immune-Associated Genes in Diagnosing Aortic Valve Calcification With Metabolic Syndrome by Integrated Bioinformatics Analysis and Machine Learning
por: Zhou, Yufei, et al.
Publicado: (2022)

Integration of Machine Learning Methods to Dissect Genetically Imputed Transcriptomic Profiles in Alzheimer’s Disease
por: Maj, Carlo, et al.
Publicado: (2019)

Quantitative assessment and validation of network inference methods in bioinformatics
por: Haibe-Kains, Benjamin, et al.
Publicado: (2014)

Whole-Exome Sequencing Identified Genes Responsible for Thoracic Aortic Aneurysms and Dissections in three Chinese Families
por: Guo, Renle, et al.
Publicado: (2022)

Integration of three machine learning algorithms identifies characteristic RNA binding proteins linked with diagnosis, immunity and pyroptosis of IgA nephropathy
por: Zhang, Xueqin, et al.
Publicado: (2022)

Chromatin regulators-related lncRNA signature predicting the prognosis of kidney renal clear cell carcinoma and its relationship with immune microenvironment: A study based on bioinformatics and experimental validation
por: Zhang, Xinyu, et al.
Publicado: (2022)

Genome-Wide Identification of RNA Modifications for Spontaneous Coronary Aortic Dissection
por: Chai, Tianci, et al.
Publicado: (2021)

Identification of Immune-Related Gene Signature in Stanford Type A Aortic Dissection
por: Li, Zhaoshui, et al.
Publicado: (2022)

Development and validation of a chromatin regulator prognostic signature in colon adenocarcinoma
por: Yang, Wenlong, et al.
Publicado: (2022)

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

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)

A machine learning model to classify aortic dissection patients in the early diagnosis phase
por: Huo, Da, et al.
Publicado: (2019)

Linc00996 is a favorable prognostic factor in LUAD: Results from bioinformatics analysis and experimental validation
por: Shen, Zhenghai, et al.
Publicado: (2022)

Application of Aortic Balloon Occlusion in Total Aortic Arch Replacement with Frozen Elephant Trunk on Clinical Endpoints for Aortic Dissection Patients
por: Li, Yunfeng, et al.
Publicado: (2020)

Construction of a HOXA11-AS-Interacted Network in Keloid Fibroblasts Using Integrated Bioinformatic Analysis and in Vitro Validation
por: Wang, Qiang, et al.
Publicado: (2022)

Experimental verification and validation of immune biomarkers based on chromatin regulators in ischemic stroke
por: Yu, Beibei, et al.
Publicado: (2022)

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

Immune-associated pivotal biomarkers identification and competing endogenous RNA network construction in post-operative atrial fibrillation by comprehensive bioinformatics and machine learning strategies
por: Zhou, Yufei, et al.
Publicado: (2022)

Identification of key claudin genes associated with survival prognosis and diagnosis in colon cancer through integrated bioinformatic analysis
por: Alghamdi, Rana A., et al.
Publicado: (2023)

OCRFinder: a noise-tolerance machine learning method for accurately estimating open chromatin regions
por: Ren, Jiayi, et al.
Publicado: (2023)

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

Construction, bioinformatics analysis, and validation of competitive endogenous RNA networks in ulcerative colitis
por: Dong, Longcong, 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)

Single-Cell RNA Sequencing Reveals Smooth Muscle Cells Heterogeneity in Experimental Aortic Dissection
por: Xu, Cheng, et al.
Publicado: (2022)

Association of genetic variants in ULK4 with the age of first onset of type B aortic dissection
por: Huang, Lihong, et al.
Publicado: (2022)

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)

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

Bioinformatics Analysis Reveals Cell Cycle-Related Gene Upregulation in Ascending Aortic Tissues From Murine Models
por: Zhang, Xiaoping, et al.
Publicado: (2022)

Peroxidase is a novel potential marker in glioblastoma through bioinformatics method and experimental validation
por: Shi, Weiwei, et al.
Publicado: (2022)

Identification and validation of hub genes and potential drugs involved in osteoarthritis through bioinformatics analysis
por: Xu, Wenbo, et al.
Publicado: (2023)

Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
por: Li, Yulong, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_gp5f4t4p7no8jh559snc2ts5om