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A gene regulatory network reveals the regulatory relationships among genes at a cellular level. The accurate reconstruction of such networks using computational tools, from time series genetic expression data, is crucial to the understanding of the proper functioning of a living organism. Investigations in this domain focused mainly on the identification of as many true regulations as possible. This...
Here, we have proposed a statistical framework based on a novel bat algorithm inspired particle swarm optimisation algorithm for the reconstruction of gene regulatory networks from temporal gene expression data. The recurrent neural network formalism has been implemented to extract the underlying dynamics from time series microarray datasets accurately. The proposed swarm intelligence framework has...
Artificial Bee Colony (ABC) algorithm is a very efficient optimization algorithm that uses the foraging behavior of honeybees. ABC has been quite extensively studied upon and applied to solve many real world engineering problems. Routing is one of the crucial stages in physical design, on which the performance of the entire chip depends. Global routing is the first step of routing where the nets in...
Swarm Intelligence (SI), modelled upon the behaviours of various swarms of animals and insects such as ants, termites, bees, birds, fishes, fireflies, etc. is an emerging area in the field of optimization. SI based algorithms are proclaimed to be robust and efficient optimization tools. This fact is corroborated by a number of practical engineering problems where these algorithms give very satisfactory...
Watermarking techniques use different ways to embed the watermark within the host. They use different strengths (scaling factor) of the watermark when embedding it. In this paper we have optimized the single scale factor of the watermark using Particle Swarm Optimization (PSO) to yield a watermarking scheme with the best possible robustness(highest Normalised Cross-correlation), keeping the scheme...
Rapid advances in VLSI technology has increased the chip density by constantly increasing the number of constituents on a single chip, as well as decreasing the chip feature size. In such a complex scenario the primary objective is to limit the power-delay product of the system. It can be done by reducing the interconnect delay by optimizing the wire lengths i.e. by the proper interconnection of all...
This paper presents an efficient approach of predicting the dominant genes responsible for Lung Adenocarcinoma using Rough Set Theory. The work takes a microarray dataset containing data of diseased, suspected and healthy patients and characterizes them in terms of objects and attributes. Using rough set theory, redundant attributes are then determined and eliminated. The core attributes are worked...
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