Abhinandan Khan

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The accurate prediction of genetic networks using computational tools is one of the greatest challenges in the postgenomic era. Recurrent Neural Network is one of the most popular but simple approaches to model the network dynamics from time-series microarray data. To date, it has been successfully applied to computationally derive small-scale artificial(More)
The correct inference of gene regulatory networks for the understanding of the intricacies of the complex biological regulations remains an intriguing task for researchers. With the availability of large dimensional microarray data, relationships among thousands of genes can be simultaneously extracted. Among the prevalent models of reverse engineering(More)
We have proposed a methodology for the reverse engineering of biologically plausible gene regulatory networks from temporal genetic expression data. We have used established information and the fundamental mathematical theory for this purpose. We have employed the Recurrent Neural Network formalism to extract the underlying dynamics present in the time(More)
Rapid technological advancements are leading to a continuous reduction in integrated chip sizes. An additional steady increase in the chip density is resulting in device performance improvements as well as severely complicating the fabrication process. The interconnection of all the components on a chip, known as routing, is done in two phases: the global(More)
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(More)
With advancements in VLSI fabrication technology, interconnecting wires are being placed in closer proximity while circuits are starting to operate at higher frequencies. Thus, reduction in crosstalk between interconnects becomes an important consideration for VLSI physical design. In this paper, we have reviewed the effects and impact that crosstalk has on(More)
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