Author(s)

Xi Deng ¹, Lin Liu ¹

Affiliation(s)

¹ Yunnan Normal University, Kunming, China

Corresponding Author

Lin Liu

ABSTRACT

With the continuous development of the field of bioinformatics, the subcellular localization of long non-coding RNA (lncRNA) has become a highly prominent frontier. LncRNAs play crucial regulatory roles in cellular processes, and understanding their subcellular localization is essential for comprehending their functions and mechanisms. However, traditional experimental methods face challenges of high costs and time consumption when predicting the subcellular localization of lncRNAs on a large scale, which has led to the emergence of research methods based on machine learning. This review aims to recap the latest advancements and trends in machine learning-based prediction of lncRNA subcellular localization in recent years. It not only provides new opportunities for a better understanding of lncRNA functions and cellular processes but also propels advancements in the fields of bioinformatics and molecular biology.

KEYWORDS

Long non-coding RNA (lncRNA), subcellular localization, machine learning, prediction model, bioinformatics

CITE THIS PAPER

Xi Deng, Lin Liu, A review of machine learning-based prediction of lncRNA subcellular localization. Advances in Computer, Signals and Systems (2023) Vol. 7: 58-63. DOI: http://dx.doi.org/10.23977/acss.2023.070908.

REFERENCES

[1] Atianand, M. K., Hu, W., Satpathy, A. T., Shen, Y., Ricci, E. P., Alvarez-Dominguez, J. R., ... & Fitzgerald, K. A. (2016). A long noncoding RNA lincRNA-EPS acts as a transcriptional brake to restrain inflammation. Cell, 165(7), 1672-1685.
[2] Lin, Y., Pan, X., & Shen, H. B. (2021). lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning. Bioinformatics, 37(16), 2308-2316.
[3] Yuan, G. H., Wang, Y., Wang, G. Z., & Yang, L. (2023). RNAlight: a machine learning model to identify nucleotide features determining RNA subcellular localization. Briefings in Bioinformatics, 24(1), bbac509.
[4] Lyu, J., Zheng, P., Qi, Y., & Huang, G. (2023). LightGBM-LncLoc: A LightGBM-Based Computational Predictor for Recognizing Long Non-Coding RNA Subcellular Localization. Mathematics, 11(3), 602.
[5] Li, M., Zhao, B., Yin, R., Lu, C., Guo, F., & Zeng, M. (2023). GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation. Briefings in Bioinformatics, 24(1), bbac565.

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