Open Access
| Issue |
BIO Web Conf.
Volume 232, 2026
2026 16th International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB 2026)
|
|
|---|---|---|
| Article Number | 01005 | |
| Number of page(s) | 46 | |
| Section | Bioinformatics Algorithms and Advanced Omics Data Analysis | |
| DOI | https://doi.org/10.1051/bioconf/202623201005 | |
| Published online | 24 April 2026 | |
- L. McInnes, J. Healy, and J. Melville, "UMAP: Uniform Manifold Approximation and Projection for Dimensionality reduction," arXiv, 2018, doi: 10.48550/arxiv.1802.03426. [Google Scholar]
- C. Trapnell et al., "The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells," Nat. Biotechnol., vol. 32, no. 4, pp. 381–386, 2014, doi: 10.1038/nbt.2859. [Google Scholar]
- M. Tang et al., "Evaluating single-cell cluster stability using the Jaccard similarity index," Bioinformatics, vol. 37, no. 15, pp. 2212–2214, 2020, doi: 10.1093/bioinformatics/btaa956. [Google Scholar]
- C. N. Heiser and K. S. Lau, "A Quantitative Framework for Evaluating Single-Cell Data Structure Preservation by Dimensionality Reduction Techniques," Cell Rep., vol. 31, no. 5, p. 107576, 2020, doi: 10.1016/j.celrep.2020.107576. [Google Scholar]
- X. Liu et al., "A comparison framework and guideline of clustering methods for mass cytometry data," Genome Biol, vol. 20, no. 1, p. 297, 2019, doi: 10.1186/s13059-019-1917-7. [Google Scholar]
- M. Chatzou, E. W., P. Di, Gascuel, and Notredame, "Generalized Bootstrap Supports for Phylogenetic Analyses of Protein Sequences Incorporating Alignment Uncertainty," Systematic Biology, 2018, doi: 10.1093/sysbio/syx096. [Google Scholar]
- J. Cao et al., "Comprehensive single-cell transcriptional profiling of a multicellular organism," Science, vol. 357, no. 6352, pp. 661–667, 2017, doi: 10.1126/science.aam8940. [Google Scholar]
- J. S. Packer et al., "A lineage-resolved molecular atlas of C. elegans embryogenesis at single-cell resolution," Science, vol. 365, no. 6459, 2019, doi: 10.1126/science.aax1971. [Google Scholar]
- D. Balboa et al., "Functional, metabolic and transcriptional maturation of human pancreatic islets derived from stem cells," Nat. Biotechnol., vol. 40, no. 7, pp. 1042–1055, 2022, doi: 10.1038/s41587-022-01219-z. [Google Scholar]
- E. Z. Macosko et al., "Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets," Cell, vol. 161, no. 5, pp. 1202–1214, 2015, doi: 10.1016/j.cell.2015.05.002. [Google Scholar]
- M. Ximerakis et al., "Single-cell transcriptomic profiling of the aging mouse brain," Nat. Neurosci., vol. 22, no. 10, pp. 1696–1708, 2019, doi: 10.1038/s41593-019-0491-3. [Google Scholar]
- D. F. Robinson and L. R. Foulds, "Comparison of phylogenetic trees," Math. Biosci., vol. 53, no. 1-2, pp. 131–147, 1981, doi: 10.1016/0025-5564(81)90043-2. [Google Scholar]
- C. D. Michener and R. R. Sokal, "A QUANTITATIVE APPROACH TO A PROBLEM IN CLASSIFICATION!," Evol. Int. J. Org. Evol., vol. 11, no. 2, pp. 130–162, 1957, doi: 10.1111/j.1558-5646.1957.tb02884.x. [Google Scholar]
- T. Caliñski and J. Harabasz, "A dendrite method for cluster analysis," Commun. Stat., vol. 3, no. 1, pp. 1–27, 1974, doi: 10.1080/03610927408827101. [Google Scholar]
- D. L. Davies and D. W. Bouldin, "A cluster separation measure.," IEEE Trans. pattern Anal. Mach. Intell., vol. 1, no. 2, pp. 224–7, 1979. [Google Scholar]
- X. L. Xie and G. Beni, "A validity measure for fuzzy clustering," IEEE Trans. Pattern Anal. Mach. Intell., vol. 13, no. 8, pp. 841–847, 2024, doi: 10.1109/34.85677. [Google Scholar]
- W. Kobak and P. Berens, "The art of using t-SNE for single-cell transcriptomics," Nat. Commun., vol. 10, no. 1, p. 5416, 2019. [Google Scholar]
- B. Becht et al., "Dimensionality reduction for visualizing single-cell data using UMAP," Nat. Biotechnol., vol. 39, no. 12, pp. 1480–1490, 2021. [Google Scholar]
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