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Article

1. Khalsan, M., Mu, M., Salih Al-Shamery, E., Machado, L., Ajit, S. and Opoku Agyeman, M. (2023) A Novel Fuzzy Classifier Model for Cancer Classification Using Gene Expression Data. IEEE Access. 11, pp. 115161-115178. 2169-3536.
2. Khalsan, M., Machado, L., SALIH AL-SHAMERY, E., Ajit, S., Anthony, K., Mu, M. and Opoku Agyeman, M. (2022) A Survey of Machine Learning Approaches Applied to Gene Expression Analysis for Cancer Prediction. IEEE Access. 2169-3536.

Book Section

1. Khalsan, M., Mu, M., Al-shamery, E. S., Ajit, S., Machado, L. and Opoku Agyeman, M. (2023) Developing a Multidimensional Fuzzy Deep Learning for Cancer Classification Using Gene Expression Data. In: Wyld, D. C. and Nagamalai, D. (eds.) Computer Science & Information Technology (CS & IT) : 9th International Conference on Computer Science, Engineering and Applications (CSEA 2023). ARE: Academy and Industry Research Collaboration Center (AIRCC). 37 - 49.

Thesis

1. Khalsan, M., Opoku Agyeman, M., Mu, M., Ajit, S., SALIH AL-SHAMERY, E. and Machado, L. Gene Selection and Cancer Classification Using a Multidimensional Fuzzy Deep Learning Approach for Gene Expression Data. PhD thesis. University of Northampton.