Bioinformatics
- Improving Fuzzy C-Means Clustering Algorithm by Incorporating Functional Annotation Databases and Biological Knowledge (MOHE, on-going).
- Computational Method to Predict Protein Domain using Machine Learning Algorithns and Biological Knowledge (MOSTI, on-going).
- Two Layers Multi-class Support Vector Machines (SVM) Classifiers (MOHE, on-going).
- Microarray gene expression data classification using statistical and machine learning techniques (MOSTI, on-going).
- Microarray gene expression of cancer disease classification using AI techniques (MOSTI, on-going).
- Protein-protein interaction and protein function prediction using machine learning techniques (MOSTI, on-going).
- The Development of Clustering System for Protein Tertiary Structure Prediction using Machine Learning Algorithms (MOSTI, completed).
- Computational Method for Protein Sequence Annotation using Gene Ontology and Intelligent Techniques (MOSTI, completed).
- Heterogeneous Ontology Mapping by Semantic Enrichment (MOHE, completed).
- Symbolic Data Structures and Lumping Techniques Representation of Large Markov Model (MOHE, completed).
- The Development of Automata Learning and Stochastic Modeling for Biosequence Analysis (MOSTI, completed).
- Remote Protein Homology Detection Using Artificial Intelligence Algorithm (MOSTI, completed).
- The Development of Feature Selection Tool for Classification of Microarrays Gene Expression Data Using Statistical and Machine Learning Techniques (MOSTI, completed).
- Computer-based cell models using ontology (MOSTE, completed).
- Semantic integration of biological databases using ontology (MOSTE, completed).
- Protein secondary structure prediction using AI techniques (MOSTE, completed).
- Biological information retrieval using multi-agent systems (MOSTE, completed).
- 3D protein structure visualization using computer supported collaborative work (MOSTE, completed).
- Biological information extraction using ontology-based agent (UTM, completed).
- Biomolecular sequence alignment using machine learning techniques (UTM, completed).
- The Development of multi agent system for biological information retreival from heterogenous distributed data and knoledge sources (IRPA, completed).
- Development of collaborative environment with privacy and conference control for 3D protein structure visualization (IRPA,completed).
- The development of hybrid cell ontology for storing and exchanging computer based biology models. (IRPA, completed).
- Protein structure prediction from amino acid sequence using artificial intelligence techniques (IRPA, completed).
- The development of cost effective teleradiology system (MTCS, completed).