Detection of Gene Ontology Clusters Using Biclustering Algorithms-Reference-Cited by-同舟云学术

Detection of Gene Ontology Clusters Using Biclustering Algorithms

Published:2023-02-17 Issue:3 Volume:4 Page:
ISSN:2661-8907
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Ali Anooja^ORCID,Ajil A.,Meenakshi Sundaram A.,Joseph Nisha

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Computer Networks and Communications,Computer Graphics and Computer-Aided Design,Computational Theory and Mathematics,Artificial Intelligence,General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s42979-022-01624-w.pdf

Reference25 articles.

1. Ali A, Vishwanath RH, Patil SS. Centrality measure analysis on protein interaction networks. In: 2020 IEEE international conference on technology, engineering, management for societal impact using marketing, entrepreneurship and talent (TEMSMET). IEEE; 2020.

2. Ahmed H et al. Network biology discovers pathogen contact points in host protein-protein interactomes. Nat Commun. 2018;9(1):1–13.

3. Aurelie T et al. Interpretation of biological experiments changes with evolution of the Gene Ontology and its annotations. Sci Rep. 2018;8(1):1–10.

4. Pontes B, Giráldez R, Aguilar-Ruizb JS. Biclustering on expression data: a review. J Biomed Inform. 2015;57:163–80.

5. Li M et al. A topology potential-based method for identifying essential proteins from PPI networks. IEEE/ACM Trans Comput Biol Bioinform. 2014;12(2):372–83.

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