Analysis of lncrna expression in patients with metabolic syndrome: an investigation based on RNA-sequencing data

被引:0
|
作者
Oyaci, Yasemin [1 ]
Senkal, Naci [2 ]
Medetalibeyoglu, Alpay [2 ]
Tuncel, Fatima Ceren [1 ]
Kose, Murat [2 ]
Tukek, Tufan [2 ]
Pehlivan, Sacide [3 ]
机构
[1] Istanbul Univ, Inst Grad Studies Hlth Sci, Med Biol, Istanbul, Turkiye
[2] Istanbul Univ, Dept Internal Med, Istanbul Fac Med, Istanbul, Turkiye
[3] Istanbul Univ, Istanbul Fac Med, Med Biol, Istanbul, Turkiye
关键词
D O I
暂无
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
P08.002.C
引用
收藏
页码:1407 / 1407
页数:1
相关论文
共 50 条
  • [1] Combined statistics for differential expression analysis of RNA-sequencing data
    Fanidis, Dionysios
    Moulos, Panagiotis
    2019 IEEE 19TH INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOENGINEERING (BIBE), 2019, : 170 - 173
  • [2] Integrated analysis of DNA methylation and RNA-sequencing data in Down syndrome
    Zhang, Jiantao
    Zhou, Wenli
    Liu, Ying
    Li, Nan
    MOLECULAR MEDICINE REPORTS, 2016, 14 (05) : 4309 - 4314
  • [3] A comparison of survival analysis methods for cancer gene expression RNA-Sequencing data
    Raman, Pichai
    Zimmerman, Samuel
    Rathi, Komal S.
    de Torrente, Laurence
    Sarmady, Mahdi
    Wu, Chao
    Leipzig, Jeremy
    Taylor, Deanne M.
    Tozeren, Aydin
    Mar, Jessica C.
    CANCER GENETICS, 2019, 235 : 1 - 12
  • [4] A tail-based test to detect differential expression in RNA-sequencing data
    Chen, Jiong
    Mi, Xinlei
    Ning, Jing
    He, Xuming
    Hu, Jianhua
    STATISTICAL METHODS IN MEDICAL RESEARCH, 2021, 30 (01) : 261 - 276
  • [5] Prognosis of clear cell renal cell carcinoma (ccRCC) based on a six-lncRNA-based risk score: an investigation based on RNA-sequencing data
    Zeng, Jiang-hui
    Lu, Wei
    Liang, Liang
    Chen, Gang
    Lan, Hui-hua
    Liang, Xiu-Yun
    Zhu, Xu
    JOURNAL OF TRANSLATIONAL MEDICINE, 2019, 17 (01)
  • [6] Prognosis of clear cell renal cell carcinoma (ccRCC) based on a six-lncRNA-based risk score: an investigation based on RNA-sequencing data
    Jiang-hui Zeng
    Wei Lu
    Liang Liang
    Gang Chen
    Hui-hua Lan
    Xiu-Yun Liang
    Xu Zhu
    Journal of Translational Medicine, 17
  • [7] Combining bulk RNA-sequencing and single-cell RNA-sequencing data to reveal the immune microenvironment and metabolic pattern of osteosarcoma
    Huang, Ruichao
    Wang, Xiaohu
    Yin, Xiangyun
    Zhou, Yaqi
    Sun, Jiansheng
    Yin, Zhongxiu
    Zhu, Zhi
    FRONTIERS IN GENETICS, 2022, 13
  • [8] Mitochondrial dysfunction in patients with cervical artery dissection: RNA-sequencing data analysis
    Shlapakova, P.
    Dobrynina, L.
    Kalashnikova, L.
    Gubanova, M.
    Danilova, M.
    Gnedovskaya, E.
    EUROPEAN JOURNAL OF NEUROLOGY, 2023, 30 : 668 - 668
  • [9] Expression variation analysis for tumor heterogeneity in single-cell RNA-sequencing data
    Davis-Marcisak, Emily F.
    Orugunta, Pranay
    Stein-O'Brien, Genevieve
    Puram, Sidharth V.
    Torres, Evanthia Roussos
    Hopkins, Alexander
    Jaffee, Elizabeth M.
    Favorov, Alexander V.
    Afsari, Bahman
    Goff, Loyal A.
    Fertig, Elana J.
    CANCER RESEARCH, 2019, 79 (13)
  • [10] Nonparametric clustering of RNA-sequencing data
    Lozano, Gabriel
    Atallah, Nadia
    Levine, Michael
    STATISTICAL ANALYSIS AND DATA MINING, 2023, 16 (06) : 547 - 559