USING RNA-SEQ DATASETS FROM GEO DATABASE IDENTIFICATION OF POTENTIAL GENETIC BIOMARKERS FOR DILATED CARDIOMYOPATHY

被引:0
|
作者
ELJack, Ammar F.
Al-Azizi, Karim
Khuder, Sadik
机构
[1] Heart Hosp Plano, Baylor Scott & White Hlth, Plano, TX USA
[2] Univ Toledo, Coll Med & Life Sci, Dept Bioinformat & Genom, 2801 W Bancroft St, Toledo, OH 43606 USA
关键词
D O I
暂无
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
引用
收藏
页码:845 / 845
页数:1
相关论文
共 50 条
  • [31] Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets
    Shen, Yujie
    Dong, Shikun
    Liu, Jinhui
    Zhang, Liqing
    Zhang, Jiacheng
    Zhou, Han
    Dong, Weida
    BIOMED RESEARCH INTERNATIONAL, 2020, 2020
  • [32] 5′RNA-Seq identifies Fhl1 as a genetic modifier in cardiomyopathy
    Christodoulou, Danos C.
    Wakimoto, Hiroko
    Onoue, Kenji
    Eminaga, Seda
    Gorham, Joshua M.
    DePalma, Steve R.
    Herman, Daniel S.
    Teekakirikul, Polakit
    Conner, David A.
    McKean, David M.
    Domenighetti, Andrea A.
    Aboukhalil, Anton
    Chang, Stephen
    Srivastava, Gyan
    McDonough, Barbara
    De Jager, Philip L.
    Chen, Ju
    Bulyk, Martha L.
    Muehlschlege, Jochen D.
    Seidman, Christine E.
    Seidman, J. G.
    JOURNAL OF CLINICAL INVESTIGATION, 2014, 124 (03): : 1364 - 1370
  • [33] Identification of potential hub beta cells using single-cell RNA-Seq
    Pullen, T. J.
    Groen, N.
    van Oudenaarden, A.
    Hodson, D. J.
    Carlotti, F.
    Rutter, G. A.
    DIABETIC MEDICINE, 2018, 35 : 51 - 51
  • [34] A multi-objective optimization approach for the identification of cancer biomarkers from RNA-seq data
    Coleto-Alcudia, Veredas
    Vega-Rodriguez, Miguel A.
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 193
  • [35] RNASeqMetaDB: a database and web server for navigating metadata of publicly available mouse RNA-Seq datasets
    Guo, Zhengyu
    Tzvetkova, Boriana
    Bassik, Jennifer M.
    Bodziak, Tara
    Wojnar, Brianna M.
    Qiao, Wei
    Obaida, Md A.
    Nelson, Sacha B.
    Hu, Bo Hua
    Yu, Peng
    BIOINFORMATICS, 2015, 31 (24) : 4038 - 4040
  • [36] GPSAdb: a comprehensive web resource for interactive exploration of genetic perturbation RNA-seq datasets
    Guo, Shipeng
    Xu, Zhougeng
    Dong, Xiangjun
    Hu, Dongjie
    Jiang, Yanshuang
    Wang, Qunxian
    Zhang, Jie
    Zhou, Qian
    Liu, Shengchun
    Song, Weihong
    NUCLEIC ACIDS RESEARCH, 2023, 51 (D1) : D964 - D968
  • [37] Identification of Upstream Transcriptional Regulators of Ischemic Cardiomyopathy Using Cardiac RNA-Seq Meta-Analysis
    Alimadadi, Ahmad
    Aryal, Sachin
    Manandhar, Ishan
    Joe, Bina
    Cheng, Xi
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2020, 21 (10)
  • [38] Integration of Gastric Cancer RNA-Seq Datasets Along With PPI Network Suggests That Nonhub Nodes Have the Potential to Become Biomarkers
    Siavoshi, Akram
    Piran, Mehran
    Sharifi-Zarchi, Ali
    Ataellahi, Fatemeh
    CANCER REPORTS, 2025, 8 (01)
  • [39] A meta-analysis of bulk RNA-seq datasets identifies potential biomarkers and repurposable therapeutics against Alzheimer's disease
    Lamisa, Anika Bushra
    Ahammad, Ishtiaque
    Bhattacharjee, Arittra
    Hossain, Mohammad Uzzal
    Ishtiaque, Ahmed
    Chowdhury, Zeshan Mahmud
    Das, Keshob Chandra
    Salimullah, Md
    Keya, Chaman Ara
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [40] Biomarker Identification from RNA-Seq Data using a Robust Statistical Approach
    Akond, Zobaer
    Alam, Munirul
    Mollah, Md. Nurul Haque
    BIOINFORMATION, 2018, 14 (04) : 153 - 163