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Recent advances in high-throughput technologies for biological data acquisition have spurred a broad interest in the construction of mathematical models for biological phenomena. The development of such mathematical models relies on the estimation of unknown parameters of the system using the time-course profiles of different metabolites in the system. One of the main challenges in the parameter estimation...
This study demonstrates the existence of noise assisted transport in the Fenna-Matthew-Olson (FMO) complex, a light-harvesting complex found in photosynthetic green sulphur bacteria. Result shows how local dephasing enhances the transport process in the FMO complex. In addition, the robustness of the mechanism under local disorder reveals that energy transport in nature is not sensitive to the finer...
Probabilistic Boolean Networks have served as the main model for studying the application of optimal intervention strategies to favorably affect system dynamics. The errors originating in the data extraction or network inference process prevent the accurate estimation of the state transition probabilities of the network. The mathematical characterization of the uncertainties will enable us to analyze...
Orthogonal Frequency Division Multiplexing (OFDM) has become very popular for its advantages. The researches are till going on for the development of OFDM. In this paper we have described a new simulator that can perform the BER analysis using OFDM technology and generate respective plots for bit errors vs signal energy (Eb/No) for several modulation schemes & different noise effects in three...
The presence of noise and the availability of a limited number of samples prevent the transition probabilities of a gene regulatory network from being accurately estimated. Thus, it is important to study the effect of modeling errors on the final outcome of an intervention strategy and to design robust intervention strategies. Two major approaches applied to the design of robust policies in general...
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