Evaluating Topology Preservation in Dimensionality Reduction Methods for Metagenomic Data: A Comparative Analysis

This work presents a comparative analysis of dimensionality reduction methods applied to metagenomic data, with a focus on how well each method preserves the topological structure of the original high-dimensional space. Faithful topology preservation is critical for downstream interpretation of microbial community data, and this study benchmarks several approaches to guide method selection for metagenomic analysis.

Download paper here

Recommended citation:

C. Jananga, T. Prasadinie, P. Malshan, V. Mallawaarachchi, R. Vidanaarachchi and D. Herath, “Evaluating Topology Preservation in Dimensionality Reduction Methods for Metagenomic Data: A Comparative Analysis,” 2026 International Conference on Image Processing and Robotics (ICIPRoB), 2026, pp. 1-6.

BibTeX

@inproceedings{jananga2026evaluating,
  title={Evaluating Topology Preservation in Dimensionality Reduction Methods for Metagenomic Data: A Comparative Analysis},
  author={Jananga, Chamuditha and Prasadinie, Tharushika and Malshan, Pasindu and Mallawaarachchi, Vijini and Vidanaarachchi, Rajith and Herath, Damayanthi},
  booktitle={2026 International Conference on Image Processing and Robotics (ICIPRoB)},
  pages={1--6},
  year={2026},
  organization={IEEE}
}