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Gene regulatory network gives the idea about the nature of interaction among the genes present in the DNA of a living species. Detection of gene regulatory network from gene expression data is of prime interest to the researchers. This paper considers modelling of the gene regulatory network identification problem using a fuzzy recurrent neural network, and obtains the interaction weights among the...
The bacterial foraging optimization (BFO) algorithm is a nature and biologically inspired computing method. We propose an alternative solution integrating bacterial foraging optimization algorithm and tabu search (TS) algorithm namely TS-BFO. We modify the original BFO via established a self-control multi-length chemotactic step mechanism, and introduce rao metric. We utilize it to solve motif discovery...
Recent advances in DNA sequencing techniques have led to an unprecedented accumulation and availability of molecular sequence data that needs to be analyzed. This data explosion in combination with the multi-core revolution also affects the computational kernels for phylogenetic inference (reconstruction of evolutionary trees from molecular sequence data) under the widely-used Maximum Likelihood (ML)...
Understanding the structure and function of DNA sequences represents an important area of research in modern biology. Unfortunately, analysis of such data is often complicated by the presence of mutations introduced by evolutionary processes. They increase the time-complexity of algorithms for sequence analysis by introducing an element of uncertainty, complicating their practical usage. One class...
Binary representation suffers from the problem of positional dependence, where the amplitude of phenotype variation is dependent on the position of the altered genotype bits. However, this is contrary to conventional variation operations that treat each genotype bit equally. Positional dependence can be attributed to the poor locality, which results in neighboring genotypes having low correlation...
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