Dimensionality Reduction for Visualizing High-Dimensional Biological Data

This work provides a comprehensive study on dimensionality reduction methods applied to high-dimensional biological data, evaluating various techniques for their effectiveness in visualization and downstream analysis of complex biological datasets.

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Recommended citation:

T. Malepathirana, D. Senanayake, R. Vidanaarachchi, V. Gautam and S. Halgamuge, “Dimensionality Reduction for Visualizing High-Dimensional Biological Data,” Biosystems, vol. 220, pp. 104749, 2022, doi: 10.1016/j.biosystems.2022.104749.

BibTeX

@article{malepathirana2022dimensionality,
  title={Dimensionality reduction for visualizing high-dimensional biological data},
  author={Malepathirana, Tamasha and Senanayake, Damith and Vidanaarachchi, Rajith and Gautam, Vini and Halgamuge, Saman},
  journal={Biosystems},
  volume={220},
  pages={104749},
  year={2022},
  publisher={Elsevier}
}