참고문헌
- "GenBank and WGS Statistics." https://www.ncbi.nlm.nih.gov/genbank/statistics/ (accessed Jan. 17, 2021).
- D. Singh, P. K. Singh, S. Chaudhary, K. Mehla, and S. Kumar, "Chapter Three - Exome sequencing and advances in crop improvement," in Advances in Genetics, vol. 79, T. Friedmann, J. C. Dunlap, and S. F. Goodwin, Eds. Academic Press, 2012, pp. 87-121.
- A. Jabeen, N. Ahmad, and K. Raza, "Machine learning-based state-of-the-art methods for the classification of RNA-seq data," in Classification in BioApps: Automation of Decision Making, N. Dey, A. S. Ashour, and S. Borra, Eds. Cham: Springer International Publishing, 2018, pp. 133-172.
- K. Nirmalakumari, H. Rajaguru, and P. Rajkumar, "Performance analysis of classifiers for colon cancer detection from dimensionality reduced microarray gene data," Int. J. Imaging Syst. Technol., vol. 30, no. 4, pp. 1012-1032, 2020, doi: https://doi.org/10.1002/ima.22431.
- M. O. Arowolo, M. O. Adebiyi, A. A. Adebiyi, and O. J. Okesola, "A hybrid heuristic dimensionality reduction methods for classifying malaria vector gene expression data," IEEE Access, vol. 8, pp. 182422-182430, 2020, doi: 10.1109/ACCESS.2020.3029234.
- "Overview and comparative study of dimensionality reduction techniques for high dimensional data - ScienceDirect." https://www-sciencedirectcom.sdl.idm.oclc.org/science/article/pii/S156625351 930377X (accessed Jan. 17, 2021).
- L. H. Nguyen and S. Holmes, "Ten quick tips for effective dimensionality reduction," PLOS Comput. Biol., vol. 15, no. 6, p. e1006907, Jun. 2019, doi: 10.1371/journal.pcbi.1006907.
- "The Cancer Genome Atlas Program - National Cancer Institute," Jun. 13, 2018. https://www.cancer.gov/aboutnci/organization/ccg/research/structuralgenomics/tcga (accessed Jan. 17, 2021).
- C. Ferles, Y. Papanikolaou, and K. J. Naidoo, "Denoising Autoencoder Self-Organizing Map (DASOM)," Neural Netw., vol. 105, pp. 112-131, Sep. 2018, doi: 10.1016/j.neunet.2018.04.016.
- T. Kohonen, Self-Organizing Maps. Springer Science & Business Media, 2012.
- T. Ahvenlampi, R. Rantanen, and M. Tervaskanto, "Fault tolerant control application for continuous kraft pulping process," in Fault Detection, Supervision and Safety of Technical Processes 2006, H.-Y. Zhang, Ed. Oxford: Elsevier Science Ltd, 2007, pp. 849-854.
- D. Miljkovic, "Brief review of self-organizing maps," in 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), May 2017, pp. 1061-1066, doi: 10.23919/MIPRO.2017.7973581.
- I. T. Jolliffe and J. Cadima, "Principal component analysis: A review and recent developments," Philos. Trans. R. Soc. Math. Phys. Eng. Sci., vol. 374, no. 2065, p. 20150202, Apr. 2016, doi: 10.1098/rsta.2015.0202.
- S. A. Alsenan, I. M. Al-Turaiki, and A. M. Hafez, "Feature extraction methods in quantitative structure-activity relationship modeling: A comparative study," IEEE Access, vol. 8, pp. 78737-78752, 2020, doi: 10.1109/ACCESS.2020.2990375.
- G. H. Golub and C. Reinsch, "Singular value decomposition and least squares solutions," Numer. Math., vol. 14, no. 5, pp. 403-420, Apr. 1970, doi: 10.1007/BF02163027.
- J. Han and M. Kamber, Data Mining: Concepts and Techniques, 1st edition. San Francisco: Morgan Kaufmann, 2000.
- L. Breiman, "Random forests," Mach. Learn., vol. 45, no. 1, pp. 5-32, Oct. 2001, doi: 10.1023/A:1010933404324.
- N. S. Altman, "An introduction to kernel and nearest-neighbor nonparametric regressi0on," Am. Stat., vol. 46, no. 3, pp. 175-185, 1992, doi: 10.2307/2685209.
- "RapidMiner | Best Data Science & Machine Learning Platform," RapidMiner. https://rapidminer.com/ (accessed Mar. 15, 2020).
- S. Mahapatra, A. Kumar, A. Sharma, and S. S. Sahu, "Effect of dimensionality reduction on classification accuracy for protein-protein interaction prediction," in Advanced Computing and Intelligent Engineering, Singapore, 2020, pp. 3-12, doi: 10.1007/978-981-15-1081-6_1.
- K. Tsuyuzaki, H. Sato, K. Sato, and I. Nikaido, "Benchmarking principal component analysis for large-scale single-cell RNA-sequencing," Genome Biol., vol. 21, no. 1, p. 9, Jan. 2020, doi: 10.1186/s13059-019-1900-3.
- H. Wirth, M. Loffler, M. von Bergen, and H. Binder, "Expression cartography of human tissues using self organizing maps," Nat. Preced., pp. 1-1, Jun. 2011, doi: 10.1038/npre.2011.5825.2.
- L. D. Locati et al., "Mining of self-organizing map gene-expression portraits reveals prognostic stratification of HPV-positive head and neck squamous cell carcinoma," Cancers, vol. 11, no. 8, Art. no. 8, Aug. 2019, doi: 10.3390/cancers11081057.