Nasimul Noman, Hitoshi Iba
We propose a crossover-based adaptive local search (LS) operation for enhancing the performance of standard differential evolution (DE) algorithm. Incorporating LS heuristics is often very useful in designing an effective evolutionary algorithm for global optimization. However, determining a single ...
Nasimul Noman, Hitoshi Iba
Nasimul Noman, Hitoshi Iba
We present a memetic algorithm for evolving the structure of biomolecular interactions and inferring the effective kinetic parameters from the time series data of gene expression using the decoupled Ssystem formalism. We propose an Information Criteria based fitness evaluation for gene network model...
M. Shahjahan Kabir, Nasimul Noman, Hitoshi Iba
BACKGROUND: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability can potentially lead to the development of improved diagnostic tests and therapeutics. DNA microarrays, which me...
Nasimul Noman, Hitoshi Iba
Md. Mahmudul Hasan, Nasimul Noman, Hitoshi Iba
In this research, we use S-System model and Differential Evolution based inference method to capture cellular dynamics using available mutual interaction information among genes. We propose a new fitness function, effectively incorporating a priori information, which guides the inference method to d...
Muhammad Ibrahim, Nasimul Noman, Hitoshi Iba
A biclustering algorithm named ROBA has been used in a number of recent works. We present a time and space efficient implementation of ROBA that reduces the time and space complexity by an order of L where L is the number of distinct values present in the data. Our implementation runs almost 11 time...