wesam ibrahim hajim, suhaila zainudin, kauthar mohd daud, khattab alheeti.  (2024).  optimized models and deep learning methods for drug response prediction in cancer treatments: a review.  - peerj computer science.  1 - 47. 

aslina saad, suhaila zainudin.  (2024).  a review of teaching and learning approach in implementing project-based learning (pbl) with computational thinking (ct).  - interactive learning environments.  1 - 25. 

ridho ananda, kauthar mohd daud, suhaila zainudin.  (2024).  a review of advances in integrating gene regulatory networks and metabolic networks for designing strain optimization.  - journal of king saud university computer and information sciences.  1 - 26. 

nor ashikin mohamad kamal, azuraliza abu bakar, suhaila zainudin.  (2022).  optimization of discrete wavelet transform feature representation and hierarchical classification of g-protein coupled receptor using firefly algorithm and particle swarm optimization.  - applied sciences.  1-19. 

omar fitian rashid, zulaiha ali othman, suhaila zainudin, noor azah samsudin.  (2021).  dna encoding and str extraction for anomaly intrusion detection systems.  - ieee access.  31892-31907. 

nur shazila mohamed, suhaila zainudin , zulaiha ali othman.  (2017).  metaheuristic approach for an enhanced mrmr filter method for classification using drug response microarray data.  - expert system with applications.  224-231. 

faridah hani mohamed salleh, shereena mohd arif, suhaila zainudin, mohd firdaus-raih.  (2015).  reconstructing gene regulatory networks from knock-out data using gaussian noise model and pearson correlation coefficient.  - computational biology and chemistry.  3-14.