Bioinformatics analysis of differentially expressed genes in subchondral bone in early experimental osteoarthritis using microarray data

被引:0
作者
Zhao Wang
Yong Ji
Hong-wei Bao
机构
[1] Jingjiang People’s Hospital,Department of Orthopaedics
[2] Jingjiang People’s Hospital,Department of General Surgery
来源
Journal of Orthopaedic Surgery and Research | / 15卷
关键词
Osteoarthritis; Differentially expressed genes; Bioinformatics analysis; Gene ontology;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [41] Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis
    Zhang, Xue
    Zuo, Jing
    Wang, Long
    Han, Jing
    Feng, Li
    Wang, Yudong
    Fan, Zhisong
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2020, 48 (08)
  • [42] Investigation of differentially expressed genes in nasopharyngeal carcinoma by integrated bioinformatics analysis
    Zou, Zhenning
    Gan, Siyuan
    Liu, Shuguang
    Li, Rujia
    Huang, Jian
    ONCOLOGY LETTERS, 2019, 18 (01) : 916 - 926
  • [43] Bioinformatics Analysis of Differentially Expressed Rhythm Genes in Liver Hepatocellular Carcinoma
    Liu, Huaifeng
    Gao, Yu
    Hu, Shangshang
    Fan, Zhengran
    Wang, Xianggang
    Li, Shujing
    FRONTIERS IN GENETICS, 2021, 12
  • [44] Study on Potential Differentially Expressed Genes in Idiopathic Pulmonary Fibrosis by Bioinformatics and Next-Generation Sequencing Data Analysis
    Giriyappagoudar, Muttanagouda
    Vastrad, Basavaraj
    Horakeri, Rajeshwari
    Vastrad, Chanabasayya
    BIOMEDICINES, 2023, 11 (12)
  • [45] Estimating the False Discovery Rate Using Mixed Normal Distribution for Identifying Differentially Expressed Genes in Microarray Data Analysis
    Hirakawa, Akihiro
    Sato, Yasunori
    Sozu, Takashi
    Hamada, Chikuma
    Yoshimura, Isao
    CANCER INFORMATICS, 2007, 3 : 140 - 148
  • [46] Identification and validation of differentially expressed genes for targeted therapy in NSCLC using integrated bioinformatics analysis
    Altaf, Reem
    Ilyas, Umair
    Ma, Anmei
    Shi, Meiqi
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [47] Using Integrated Bioinformatics Analysis to Identify Abnormally Methylated Differentially Expressed Genes in Hepatocellular Carcinoma
    Chen, Qing-Lian
    Yan, Qian
    Feng, Kun-Liang
    Xie, Chun-Feng
    Fang, Chong-Kai
    Wang, Ji-Nan
    Liu, Li-Hua
    Li, Ya
    Zhong, Chong
    INTERNATIONAL JOURNAL OF GENERAL MEDICINE, 2021, 14 : 805 - 823
  • [48] Screening and functional microarray analysis of differentially expressed genes related to osteoporosis
    Chen, Y.
    Xia, R. G.
    GENETICS AND MOLECULAR RESEARCH, 2014, 13 (02) : 3228 - 3236
  • [49] Investigation of differentially-expressed microRNAs and genes in cervical cancer using an integrated bioinformatics analysis
    Xu, Zhanzhan
    Zhou, Yu
    Shi, Fang
    Cao, Yexuan
    Thi Lan Anh Dinh
    Wan, Jing
    Zhao, Min
    ONCOLOGY LETTERS, 2017, 13 (04) : 2784 - 2790
  • [50] AffyMiner: mining differentially expressed genes and biological knowledge in GeneChip microarray data
    Guoqing Lu
    The V Nguyen
    Yuannan Xia
    Michael Fromm
    BMC Bioinformatics, 7