Citations

All Sources (APA)

  1. Alipour, F., Holmes, C., Lu, Y. Y., Hill, K. A., & Kari, L. (2024). Leveraging machine learning for taxonomic classification of emerging astroviruses. Frontiers in Molecular Biosciences, 10. https://doi.org/10.3389/fmolb.2023.1305506
  2. Animal. (2025). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Animal&oldid=1306191709
  3. Collins, A. G., Cartwright, P., McFadden, C. S., & Schierwater, B. (2005). Phylogenetic Context and Basal Metazoan Model Systems. Integrative and Comparative Biology, 45(4), 585–594. https://doi.org/10.1093/icb/45.4.585
  4. Deuterostome. (2025). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Deuterostome&oldid=1299664913
  5. Ecdysozoa. (2025). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Ecdysozoa&oldid=1305526962
  6. Lophotrochozoa. (2025). In Wikipedia. https://en.wikipedia.org/w/index.php?title=Lophotrochozoa&oldid=1302526625
  7. Tessler, M., Neumann, J. S., Kamm, K., Osigus, H.-J., Eshel, G., Narechania, A., Burns, J. A., DeSalle, R., & Schierwater, B. (2022). Phylogenomics and the first higher taxonomy of Placozoa, an ancient and enigmatic animal phylum. Frontiers in Ecology and Evolution, 10. https://doi.org/10.3389/fevo.2022.1016357
  8. van der Gulik, P. T. S., Hoff, W. D., & Speijer, D. (2023). Renewing Linnaean taxonomy: A proposal to restructure the highest levels of the Natural System. Biological Reviews, 98(2), 584–602. https://doi.org/10.1111/brv.12920

Libraries Citations

  1. NumPy documentation—NumPy v2.2 Manual. (n.d.). Retrieved August 20, 2025, from https://numpy.org/doc/2.2/
  2. os—Miscellaneous operating system interfaces. (n.d.). Python Documentation. Retrieved August 20, 2025, from https://docs.python.org/3/library/os.html
  3. pandas documentation—Pandas 2.2.3 documentation. (n.d.). Retrieved August 20, 2025, from https://pandas.pydata.org/pandas-docs/version/2.2/
  4. Python 3.12 documentation. (n.d.). Python Documentation. Retrieved August 20, 2025, from https://docs.python.org/3/
  5. Scikit-learn: Machine learning in Python—Scikit-learn 1.7.1 documentation. (n.d.). Retrieved August 20, 2025, from https://scikit-learn.org/stable/
  6. Team, T. M. D. (2025). Matplotlib: Visualization with Python [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.14940554
  7. Waskom, M. L. (2021). seaborn: Statistical data visualization. Journal of Open Source Software, 6(60), 3021. https://doi.org/10.21105/joss.03021
  8. Welcome to the SHAP documentation—SHAP latest documentation. (n.d.). Retrieved August 20, 2025, from https://shap.readthedocs.io/en/latest/