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Cited by 14MicroRNA in disease regulationCancer-related molecular mechanisms researchBioinformatics and Genomic Networks

MicroRNA-mRNA interaction network using TSK-type recurrent neural fuzzy network

Vineetha, S., Chandra Shekara Bhat, C., Idicula, Sumam Mary·2013·Gene
DOI 10.1016/j.gene.2012.12.063
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Abstract

MicroRNAs are short non-coding RNAs that can regulate gene expression during various crucial cell processes such as differentiation, proliferation and apoptosis. Changes in expression profiles of miRNA play an important role in the development of many cancers, including CRC. Therefore, the identification of cancer related miRNAs and their target genes are important for cancer biology research. In this paper, we applied TSK-type recurrent neural fuzzy network (TRNFN) to infer miRNA-mRNA association network from paired miRNA, mRNA expression profiles of CRC patients. We demonstrated that the method we proposed achieved good performance in recovering known experimentally verified miRNA-mRNA associations. Moreover, our approach proved successful in identifying 17 validated cancer miRNAs which are directly involved in the CRC related pathways. Targeting such miRNAs may help not only to prevent the recurrence of disease but also to control the growth of advanced metastatic tumors. Our regulatory modules provide valuable insights into the pathogenesis of cancer.

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  • mRNA-miRNA integration was investigated using Neural Fuzzy Network for colorectal cancer, SVM for pancreatic cancer, and RF for cardiac tissue ageing and ovarian cancer.

    “Similarly, mRNA -miRNA integration was investigated using Neural Fuzzy Network for colorectal cancer (Vineetha et al., 2013), SVM for pancreatic cancer (Kwon et al., 2015), and RF for cardiac tissue ageing (Dimitrakopoulos et al., 2014) and ovarian cancer (Anděl et al., 2015) respectively.”

    From Using machine learning approaches for multi-omics data analysis: A review (2021) · cites this paper as Vineetha et al., 2013

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References 28 · Cited by 14

Authors
Vineetha, S., Chandra Shekara Bhat, C., & Idicula, S. M.
Affiliations
  • Government of Kerala (IN)
  • Cochin University of Science and Technology (IN)
Corresponding author
Vineetha, S.
ORCID
Idicula, Sumam Mary
Venue
Gene
Publisher
Elsevier BV
Published
2013-02
Volume
515
Issue
2
Pages
385-390
ISSN
0378-1119 (ISSN-L)
DOI
10.1016/j.gene.2012.12.063
OpenAlex
W2142693985
Cited by
14
References
28
Citations by year
2025: 2 · 2024: 1 · 2021: 1 · 2020: 1 · 2018: 2 · 2017: 2 · 2015: 2 · 2014: 2 · 2013: 1
FWCI
0.53
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Gene (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
Keywords
colorectal cancer, miRNA target genes, gene regulatory modules, miRNA expression profiling, non-coding RNA
MeSH terms
Algorithms, Computer Simulation, Humans, Models, Genetic, RNA, Messenger, Colorectal Neoplasms, Gene Expression Regulation, Neoplastic, Neural Networks, Computer, Fuzzy Logic, Gene Expression Profiling, RNA Interference, MicroRNAs, Gene Regulatory Networks

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