Cargando…

Evaluation of Biomarkers and Immune Microenvironment of Osteoarthritis: Evidence From Omics Data and Machine Learning

Objectives: This study aimed to identify novel biomarkers for osteoarthritis (OA) and explore potential pathological immune cell infiltration. Methods: We identified differentially expressed genes (DEGs) between OA and normal synovial tissues using the limma package in R, and performed enrichment an...

Descripción completa

Detalles Bibliográficos
Autores principales:	Liu, Zhixin, Liu, Heng, Li, Deqiang, Ma, Liang, Lu, Tongxin, Sun, Hao, Zhang, Yuankai, Yang, Hui
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/PMC9149375/ https://www.ncbi.nlm.nih.gov/pubmed/35651940 http://dx.doi.org/10.3389/fgene.2022.905027

Ejemplares similares

Comprehensive analysis of m6A RNA methylation modification patterns and the immune microenvironment in osteoarthritis
por: Liu, Zhixin, et al.
Publicado: (2023)

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

Editorial: Multi-omics analysis in tumor microenvironment and tumor heterogeneity
por: Shi, Yuxin, 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)

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

Applications of Single-Cell Omics to Dissect Tumor Microenvironment
por: Guo, Tingting, et al.
Publicado: (2020)

Editorial: Machine Learning Advanced Dynamic Omics Data Analysis for Precision Medicine
por: Zeng, Tao, et al.
Publicado: (2020)

Machine Learning: A New Prospect in Multi-Omics Data Analysis of Cancer
por: Arjmand, Babak, et al.
Publicado: (2022)

Multi-omics analysis reveals focal adhesion characteristic associated tumor immune microenvironment in colon adenocarcinoma
por: Xu, Xiaoming, 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)

Multi-Omics Analysis of the Tumor Microenvironment in Liver Metastasis of Colorectal Cancer Identified FJX1 as a Novel Biomarker
por: Zou, Junwei, et al.
Publicado: (2022)

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment
por: Xu, Fangfang, et al.
Publicado: (2021)

m6A Regulator-Mediated RNA Methylation Modification Patterns Regulate the Immune Microenvironment in Osteoarthritis
por: Duan, Yang, et al.
Publicado: (2022)

N6-methyladenine regulator-mediated RNA methylation modification patterns in immune microenvironment regulation of osteoarthritis
por: Gu, Yong, et al.
Publicado: (2023)

Machine learning-based transcriptome analysis of lipid metabolism biomarkers for the survival prediction in hepatocellular carcinoma
por: Xiong, Ronghong, et al.
Publicado: (2022)

Editorial: Biomarker Detection Algorithms and Tools for Medical Imaging or Omics Data
por: Cho, William C., et al.
Publicado: (2022)

Editorial: Application of Novel Statistical and Machine-Learning Methods to High-Dimensional Clinical Cancer and (Multi-)Omics Data
por: Xu, Chao, et al.
Publicado: (2021)

Cuproptosis-Related lncRNAs are Biomarkers of Prognosis and Immune Microenvironment in Head and Neck Squamous Cell Carcinoma
por: Yang, Liuqing, 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 of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms
por: Li, Weimin, 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)

Significance of ZEB2 in the immune microenvironment of colon cancer
por: Xie, Hao, et al.
Publicado: (2022)

Pyroptosis-Related Gene to Construct Prognostic Signature and Explore Immune Microenvironment and Immunotherapy Biomarkers in Bladder Cancer
por: Zhang, Xiangyu, et al.
Publicado: (2022)

Data-driven analysis to identify prognostic immune-related biomarkers in BRAF mutated cutaneous melanoma microenvironment
por: Huang, Biao, 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)

The cuproptosis-related signature predicts prognosis and indicates immune microenvironment in breast cancer
por: Li, Jia, et al.
Publicado: (2022)

TP53-related signature for predicting prognosis and tumor microenvironment characteristics in bladder cancer: A multi-omics study
por: Tao, Yuting, et al.
Publicado: (2022)

EnRank: An Ensemble Method to Detect Pulmonary Hypertension Biomarkers Based on Feature Selection and Machine Learning Models
por: Liu, Xiangju, et al.
Publicado: (2021)

Integrated omics and machine learning-assisted profiling of cysteine-rich-receptor-like kinases from three peanut spp. revealed their role in multiple stresses
por: Fatima, Kinza, et al.
Publicado: (2023)

N6-Methyladenosine-Related lncRNAs Are Potential Prognostic Biomarkers and Correlated With Tumor Immune Microenvironment in Osteosarcoma
por: Zheng, Di, et al.
Publicado: (2022)

Integrated Bioinformatics Analysis Identifies Robust Biomarkers and Its Correlation With Immune Microenvironment in Nonalcoholic Fatty Liver Disease
por: Zhang, Feng, et al.
Publicado: (2022)

A Potential Indicator ARRDC2 Has Feasibility to Evaluate Prognosis and Immune Microenvironment in Ovarian Cancer
por: Zhang, Mengjun, et al.
Publicado: (2022)

Effects of Inflammatory Response Genes on the Immune Microenvironment in Colorectal Cancer
por: Wang, YaChen, et al.
Publicado: (2022)

Editorial: Computational Learning Models and Methods Driven by Omics for Precision Medicine
por: Zhu, Lei, et al.
Publicado: (2020)

A Machine Learning Approach for Identifying Gene Biomarkers Guiding the Treatment of Breast Cancer
por: Tabl, Ashraf Abou, et al.
Publicado: (2019)

Novel peripheral blood diagnostic biomarkers screened by machine learning algorithms in ankylosing spondylitis
por: Wen, Jian, et al.
Publicado: (2022)

Corrigendum: A potential indicator ARRDC2 has feasibility to evaluate prognosis and immune microenvironment in ovarian cancer
por: Zhang, Mengjun, et al.
Publicado: (2022)

A novel prognostic gene set for colon adenocarcinoma relative to the tumor microenvironment, chemotherapy, and immune therapy
por: Zhou, Hui, et al.
Publicado: (2023)

Identification of featured necroptosis-related genes and imbalanced immune infiltration in sepsis via machine learning
por: She, Han, et al.
Publicado: (2023)

Large-Scale Automatic Feature Selection for Biomarker Discovery in High-Dimensional OMICs Data
por: Leclercq, Mickael, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_29e5d66c6cef2h24ifm1v5p29f