Relative Relation in KNN Classification for Gene Expression Data. A Preliminary Study
Author:
Affiliation:
1. Bialystok University of Technology, Poland
2. Białystok University of Technology, Poland
Publisher
University of Gdańsk
Reference37 articles.
1. 1. Ayyad, S.M., Saleh, A.I., Labib, L.M.: Gene expression cancer classification using modified K-Nearest Neighbors technique, Biosystems 176: 41-51 (2019).
2. 2. Abramowitz, M., Stegun, I.A.: Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, Dover Publications INC (1972).
3. 3. Ahmed, O., Brifcani, A.: Gene Expression Classification Based on Deep Learning, 2019 4th Scientific International Conference Najaf (SICN), Al-Najef, Iraq, 2019, pp. 145-149,
4. 4. Alharbi, F.; Vakanski, A.Machine Learning Methods for Cancer Classification Using Gene Expression Data: A Review. Bioengineering 2023, 10, 173
5. 5. Bhat, N.G., Balaji, S.: Modelling and simulation of lac-operon gene expression using heterogeneous parallel platforms. Int. j. inf. tecnol. 15, 2293-2302 (2023).
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