IDEAS home Printed from https://ideas.repec.org/a/hin/complx/5938035.html
   My bibliography  Save this article

BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network

Author

Listed:
  • Xiujuan Lei
  • Wenxiang Zhang

Abstract

The circular RNAs (circRNAs) have significant effects on a variety of biological processes, the dysfunction of which is closely related to the emergence and development of diseases. Therefore, identification of circRNA-disease associations will contribute to analysing the pathogenesis of diseases. Here, we present a computational model called BRWSP to predict circRNA-disease associations, which searches paths on a multiple heterogeneous network based on biased random walk. Firstly, BRWSP constructs a multiple heterogeneous network by using circRNAs, diseases, and genes. Then, the biased random walk algorithm runs on the multiple heterogeneous network to search paths between circRNAs and diseases. Finally, the performance of BRWSP is significantly better than the state-of-the-art algorithms. Furthermore, BRWSP further contributes to the discovery of novel circRNA-disease associations.

Suggested Citation

  • Xiujuan Lei & Wenxiang Zhang, 2019. "BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network," Complexity, Hindawi, vol. 2019, pages 1-12, November.
    • Handle: RePEc:hin:complx:5938035
    DOI: 10.1155/2019/5938035
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2019/5938035.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2019/5938035.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/5938035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Thomas B. Hansen & Trine I. Jensen & Bettina H. Clausen & Jesper B. Bramsen & Bente Finsen & Christian K. Damgaard & Jørgen Kjems, 2013. "Natural RNA circles function as efficient microRNA sponges," Nature, Nature, vol. 495(7441), pages 384-388, March.
    2. Xing Chen & Li Huang, 2017. "LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction," PLOS Computational Biology, Public Library of Science, vol. 13(12), pages 1-28, December.
    3. Chieh-Yu Liu & Chun-Hung Chang, 2018. "An Optimal Algorithm for Determining Risk Factors for Complex Diseases: Depressive Disorder, Osteoporosis, and Fracture in Young Patients with Breast Cancer Receiving Curative Surgery," Complexity, Hindawi, vol. 2018, pages 1-8, July.
    4. Fang-Xiang Wu & Jianxin Wang & Min Li & Haiying Wang, 2018. "Biomolecular Networks for Complex Diseases," Complexity, Hindawi, vol. 2018, pages 1-3, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bin Li & Wen-Wu Bai & Tao Guo & Zhen-Yu Tang & Xue-Jiao Jing & Ti-Chao Shan & Sen Yin & Ying Li & Fu Wang & Mo-Li Zhu & Jun-Xiu Lu & Yong-Ping Bai & Bo Dong & Peng Li & Shuang-Xi Wang, 2024. "Statins improve cardiac endothelial function to prevent heart failure with preserved ejection fraction through upregulating circRNA-RBCK1," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Xie, Guobo & Wu, Lifeng & Lin, Zhiyi & Cui, Ji, 2020. "WLDAP: A computational model of weighted lncRNA-disease associations prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 558(C).
    3. Roberta Piras & Emily Y. Ko & Connor Barrett & Marco Simone & Xianzhi Lin & Marina T. Broz & Fernando H. G. Tessaro & Mireia Castillo-Martin & Carlos Cordon-Cardo & Helen S. Goodridge & Dolores Vizio , 2022. "circCsnk1g3- and circAnkib1-regulated interferon responses in sarcoma promote tumorigenesis by shaping the immune microenvironment," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    4. Zhenzhen Chen & Qiankun He & Tiankun Lu & Jiayi Wu & Gaoli Shi & Luyun He & Hong Zong & Benyu Liu & Pingping Zhu, 2023. "mcPGK1-dependent mitochondrial import of PGK1 promotes metabolic reprogramming and self-renewal of liver TICs," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    5. Yu Dong & Qian Gao & Yong Chen & Zhao Zhang & Yanhua Du & Yuan Liu & Guangxiong Zhang & Shengli Li & Gaoyang Wang & Xiang Chen & Hong Liu & Leng Han & Youqiong Ye, 2023. "Identification of CircRNA signature associated with tumor immune infiltration to predict therapeutic efficacy of immunotherapy," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    6. Ang Li & Yingwei Deng & Yan Tan & Min Chen, 2021. "A novel miRNA-disease association prediction model using dual random walk with restart and space projection federated method," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-17, June.
    7. Ting-Ting He & Yun-Fan Xu & Xiang Li & Xia Wang & Jie-Yu Li & Dan Ou-Yang & Han-Sen Cheng & Hao-Yang Li & Jia Qin & Yu Huang & Hai-Yan Wang, 2023. "A linear and circular dual-conformation noncoding RNA involved in oxidative stress tolerance in Bacillus altitudinis," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    8. Steffen Fuchs & Clara Danßmann & Filippos Klironomos & Annika Winkler & Jörg Fallmann & Louisa-Marie Kruetzfeldt & Annabell Szymansky & Julian Naderi & Stephan H. Bernhart & Laura Grunewald & Konstant, 2023. "Defining the landscape of circular RNAs in neuroblastoma unveils a global suppressive function of MYCN," Nature Communications, Nature, vol. 14(1), pages 1-21, December.
    9. Xiaojuan Fan & Yun Yang & Chuyun Chen & Zefeng Wang, 2022. "Pervasive translation of circular RNAs driven by short IRES-like elements," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    10. Federica Conte & Giulia Fiscon & Matteo Chiara & Teresa Colombo & Lorenzo Farina & Paola Paci, 2017. "Role of the long non-coding RNA PVT1 in the dysregulation of the ceRNA-ceRNA network in human breast cancer," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-22, February.
    11. Humberto J. Ferreira & Brian J. Stevenson & HuiSong Pak & Fengchao Yu & Jessica Almeida Oliveira & Florian Huber & Marie Taillandier-Coindard & Justine Michaux & Emma Ricart-Altimiras & Anne I. Kraeme, 2024. "Immunopeptidomics-based identification of naturally presented non-canonical circRNA-derived peptides," Nature Communications, Nature, vol. 15(1), pages 1-18, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:complx:5938035. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.