Razib Othman

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Publications

  1. Hassan R., Othman R.M., Saad P., and Kasim S. (2011). A Compact Hybrid Feature Vector for an Accurate Secondary Structure Prediction. Information Sciences [Elsevier; impact factor 2011: 2.833] 181(23): 5267-5277.
  2. Muda H.M., Saad P., and Othman R.M. (2011). Remote Protein Homology Detection and Fold Recognition Using Two-Layer Support Vector Machine Classifiers. Computers in Biology & Medicine [Elsevier; impact factor 2011: 1.089] 41(8): 687-699.
  3. Roslan R., Othman R.M., Shah Z.A, Kasim S., Asmuni H., Taliba J., Hassan R., and Zakaria Z. (2010). Incorporating Multiple Genomics Features with the Utilization of Interacting Domain Patterns to Improve Protein-Protein Interactions Prediction. Information Sciences [Elsevier; impact factor 2010: 2.833] 180(20): 3955-3973.
  4. Roslan R., Othman R.M., Shah Z.A., Kasim S., Asmuni H., Taliba J., Hassan R., and Zakaria Z. (2010). Utilizing Shared Interacting Domain Patterns and Gene Ontology Information to Improve Protein-Protein Interaction Prediction. Computers in Biology & Medicine [Elsevier; impact factor 2010: 1.112] 40(6): 555-564.
  5. Hassan U.K., Shah Z.A., Othman R.M., Hassan R., Rahim M.S.M., Asmuni H., Taliba J., and Zakaria Z. (2009). SplitSSI-SVM: An Algorithm to Reduce the Misleading and Increase the Strength of Domain Signal. Computers in Biology & Medicine [Elsevier; impact factor 2009: 1.269] 39(11): 1013-1019.
  6. Othman R.M., Deris S., and Illias R.M. (2008). A Genetic Similarity Algorithm for Searching the Gene Ontology Terms and Annotation of Anonymous Protein Sequences. Journal Biomedical Informatics [Elsevier; impact factor 2008: 1.924] 41(1): 65-81.
  7. Taliba J., Othman R.M., Hassan U.K., and Roslan R. (2011). A Hybrid Ranking Method for Constructing Negative Datasets of Protein-Protein Interactions. Journal of Computing 3(11): 3(11): 48-55.
  8. Ismail A.M., Asmuni H., and Othman R.M. (2011). The Fuzzy Cooperative Genetic Algorithm (FCoGA): The Optimisation of a Fuzzy Model Through Incorporation of a Cooperative Coevolutionary Method. Journal of Computing 3(11): 81-90.
  9. Ismail S., Othman R.M., Kasim S., Hassan R, Asmuni H., and Taliba J. (2011). Pairwise Protein Substring Alignment with Latent Semantic Analysis and Support Vector Machines to Detect Remote Protein Homology. International Journal of Bio-Science and Bio-Technology 3(3): 17-34.
  10. Abdullah F.M., Othman R.M., Kasim S., Hashim R., Hassan R, Asmuni H., and Taliba J. (2011). An Optimal Mesh Algorithm for Remote Protein Homology Detection. International Journal of Bio-Science and Bio-Technology 3(2): 13-38.
  11. Kasim S., Deris S., Othman R.M,, and Hashim R. (2011). Biological-Based Semi-Supervised Clustering Algorithm to Improve Gene Function Prediction. Journal of Computing 3(4): 1-11.
  12. Mohamad N.N., Amin I.M., Othman R.M., Asmuni H., Hassan R., and Kasim S. (2012). Design and Implementation of Product Structure Ontology. In Nazir M.A., Colomb R.M., and Syazwan M.A. (eds), Ontology-Based Applications for Enterprise Systems and Knowledge Management, pp 246-260.
  13. Ismail S., Othman R.M., and Kasim S. (2011). Pairwise Protein Substring Alignment with Latent Semantic Analysis and Support Vector Machines to Detect Remote Protein Homology. In Kim T.-h., Adeli H., Robles R.J., and Balitanas M. (eds), Communications in Computer and Information Science: Ubiquitous Computing and Multimedia Applications 151(Part 2): 526-546.
  14. Abdullah F.M., Othman R.M., Kasim S., and Hashim R. (2011). An Optimal Mesh Algorithm for Remote Protein Homology Detection. In Kim T.-h., Adeli H., Robles R.J., and Balitanas M. (eds), Communications in Computer and Information Science: Ubiquitous Computing and Multimedia Applications 151(Part 2): 471-497.
  15. Kasim S., Deris S., and Othman R.M. (2010). A New Computational Framework for Gene Expression Clustering. In Cao L., Feng Y., and Zhong J. (eds), Lecture Notes in Computer Science: Advanced Data Mining and Applications 6440(2010): 603-610.
  16. Zafar F.M., Mohamad D., and Othman R.M. (2010). Performance Analysis of a Proposed Smoothing Algorithm for Isolated Handwritten Characters. International Journal of Artificial Intelligence and Soft Computing 2(3): 186-198.
  17. Zafar F.M., Mohamad D., Rab A., and Othman R.M. (2009). Application of a Proposed Efficient Smoothing Algorithm on Directional Vectors for Isolated Handwritten Characters. In Hussain D.M.A., Rajput A.Q.K., Chowdhry B.S., and Gee Q. (eds), Communications in Computer and Information Science: Wireless Networks, Information Processing and Systems 20(1): 52-63.
  18. Alashwal H.T., Deris S., and Othman R.M. (2009). A Bayesian Kernel for the Prediction of Protein-Protein Interactions. International Journal of Information and Mathematical Sciences 5(2): 119-124.
  19. Othman R.M., Hassan U.K., Hassan R., Asmuni H., Taliba J., and Kasim S. (2012). BRNN-SVM: Increasing the Strength of Domain Signal to Improve Protein Domain Prediction Accuracy. Recurrent Neural Network. Eds Elhefnawi M. and Mysara M. InTech. Rijeka, Croatia, pp. 133-150.
  20. Abdullah F.M. and Othman R.M. (2012). Multiple Alignments, Hidden Markov Models and SVMs: Development of a Computational Framework for Protein Homology Detection by Incorporating Realignment Algorithm. LAP LAMBERT Academic Publishing. Saarbrücken, Germany.
  21. Mohamad N.N. and Othman R.M. (2012). Knowledge Formalization and Information Retrieval: Product Structure Ontology to Support Semantic Search in Manufacturing Requirements Management. LAP LAMBERT Academic Publishing. Saarbrücken, Germany.


Reviewer of Scientific Journals

  1. Amino Acids (Springer; impact factor 2009: 3.877; no of paper reviewed: 1; last reviewed: 2009)
  2. Artificial Intelligence in Medicine (Elsevier; impact factor 2010: 1.568; no of paper reviewed: 1; last reviewed: 2010)
  3. Computers in Biology and Medicine (Elsevier; impact factor 2011: 1.089; no of paper reviewed: 6; last reviewed: 2012)
  4. Journal of Biomedical Informatics (Elsevier; impact factor 2010: 1.719; no of paper reviewed: 3; last reviewed: 2010)
  5. PLoS Computational Biology (PLoS.org; impact factor 2011: 5.215; no of paper reviewed: 3; last reviewed: 2012)
  6. Proteins: Structure, Function, and Bioinformatics (Wiley; impact factor 2011: 3.392; no of paper reviewed: 1; last reviewed: 2011)
  7. Current Bioinformatics (Bentham Science; impact factor 2011: 0.898; no of paper reviewed: 2; last reviewed: 2012)
  8. Protein & Peptide Letters (Bentham Science; impact factor 2011: 1.942; no of paper reviewed: 1; last reviewed: 2012)


Grants

  1. Othman R.M., Asmuni H., and Hassan R. (2011). Intelligent Mixed-Land Classifier for Change Detection in Coastal Zone Using LiDAR Point Cloud Data. GUP Grant: Universiti Teknologi Malaysia.
  2. Asmuni H., Othman R.M., and Hassan R. (2011). Enhancement of the Accuracy and Privacy of Iris Biometrics Recognition System. GUP Grant: Universiti Teknologi Malaysia.
  3. Hassan R., Othman R.M., and Asmuni H. (2011). A Web-Semantic Approach to Knowledge Management for Integration of Heterogeneous Herbs Data. GUP Grant: Universiti Teknologi Malaysia.
  4. Asmuni H., Othman R.M., Zakaria Z., and Rahim M.S.M. (2010). Spatial Data Infrastructure for Heterogeneous Distributed Oceanography and Marine Sciences Data and Knowledge Sources. NODFund: Ministry of Science, Technology and Innovation.
  5. Othman R.M. and Asmuni H. (2010). The Development of Oceanographic Data and Marine Information Center. NODFund: Ministry of Science, Technology and Innovation.
  6. Othman R.M., Shah Z.A., Rahim M.S.M., and Asmuni H. (2010). Computational Method to Predict Protein Domain Using Machine Learning Algorithms and Biological Knowledge. ScienceFund: Ministry of Science, Technology and Innovation.
  7. Othman R.M., Yatim S.M., Zakaria Z., Hassan R., and Shah Z.A. (2010). Improving Fuzzy C-Means Clustering Algorithm by Incorporating Functional Annotation Databases and Biological Knowledge. FRGS: Ministry of Higher Education.
  8. Asmuni H., Othman R.M., Yatim S.M., Hassan R., and Shah Z.A. (2009). Two Layers Multi-Class Support Vector Machines (SVM) Classifiers. FRGS: Ministry of Higher Education.