Publications

Journals

  1. Nies, H. W., Zakaria, Z., Chan, W. H., Kamsani, I. I., & Hasan, N. S. (2022). PubMed Text Data Mining Automation for Biological Validation on Lists of Genes and Pathways. International Journal of Innovative Computing, 12(1), 59-64.
    https://ijic.utm.my/index.php/ijic/article/view/313
  2. Nies, H. W., Mohamad, M. S., Zakaria, Z., Chan, W. H., Remli, M. A., & Nies, Y. H. (2021). Enhanced Directed Random Walk for the Identification of Breast Cancer Prognostic Markers from Multiclass Expression Data. Entropy, 23(9), 1232.
    https://doi.org/10.3390/e23091232
  3. Mazlan, A. U., Sahabudin, N. A., Remli, M. A., Ismail, N. S. N., Mohamad, M. S., Nies, H. W., & Abd Warif, N. B. (2021). A Review on Recent Progress in Machine Learning and Deep Learning Methods for Cancer Classification on Gene Expression Data. Processes, 9(8), 1466.
    https://doi.org/10.3390/pr9081466
  4. Munirah, N. A., Remli, M. A., Ali, N. M., Nies, H. W., Mohamad, M. S., & Wong, K. N. S. S. (2020). The Development of Parameter Estimation Method for Chinese Hamster Ovary Model using Black Widow Optimization Algorithm. International Journal of Advanced Computer Science and Applications.
    http://dx.doi.org/10.14569/IJACSA.2020.0111126
  5. Nies, H. W., Zakaria, Z., Mohamad, M. S., Chan, W. H., Zaki, N., Sinnott, R. O., Napis, S., Chamoso, P., Omatu, S. & Corchado, J. M. (2019). A review of computational methods for clustering genes with similar biological functions. Processes, 7(9), 550.
    https://doi.org/10.3390/pr7090550
  6. Hasri, N. M., Nies, H. W., Howe, C. W., Mohamad, M. S., Deris, S., & Kasim, S. (2017). Improved support vector machine using multiple SVM-RFE for cancer classification. International Journal on Advanced Science, Engineering and Information Technology, 7(4-2), 1589-1594.
    http://dx.doi.org/10.18517/ijaseit.7.4-2.3394

Conferences

  1. Nies, H.W., Zakaria, Z., Mohamad, M.S., A. Samah, A., Chan, W. H., & Deris, S. (2018). Review on Pathway Topology-Based Microarray Analysis. In 7th International Graduate Conference on Engineering Science and Humanity 2018.
    http://sps.utm.my/igcesh2018/files/2018/08/IGCESH-Proceedings-2018.pdf
  2. Nies, H.W., Zakaria, Z., Mohamad, M.S., A. Samah, A., Chan, W. H., & Deris, S. (2018). Review on Weighting Category of Pathway Topology-Based Microarray Analysis in Multiclass Classification. UTM Computing Proceedings.
    http://engineering.utm.my/computing/proceeding/wp-content/uploads/sites/114/2018/11/11.-Review-on-Weighting-Category-of-Pathway-Topology-Based-Microarray-Analysis-in-Multiclass-Classification.pdf
  3. Remli, M. A., Daud, K. M., Nies, H. W., Mohamad, M. S., Deris, S., Omatu, S., Kasim, S. & Sulong, G. (2017, June). K-means clustering with infinite feature selection for classification tasks in gene expression data. In International Conference on Practical Applications of Computational Biology & Bioinformatics (pp. 50-57). Springer, Cham.
    https://doi.org/10.1007/978-3-319-60816-7_7
  4. Nies, H. W., Daud, K. M., Remli, M. A., Mohamad, M. S., Deris, S., Omatu, S., Kasim, S. & Sulong, G. (2017, June). Classification of colorectal cancer using clustering and feature selection approaches. In International Conference on Practical Applications of Computational Biology & Bioinformatics (pp. 58-65). Springer, Cham.
    https://doi.org/10.1007/978-3-319-60816-7_8

Books

  1. Nies, H. W. & Mohamad, M. S. (2017). Directed Random Walk Methods For Identifying Informative Cancer Genes. Penerbit UTM Press.
    https://penerbit.utm.my/booksonline/directed-random-walk-methods-for-identifying-informative-cancer-genes/