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Going hand in hand with this increased use of risk based methods has been the development of assessment criteria against which to judge the results being obtained from the risk analyses.
In animals, discovery of miRNA genes, by using molecular cloning based methods has been supplemented by systematic computational approaches that identify evolutionarily conserved miRNA genes.
The sensitivity of PCR based methods has been reviewed [ 9] and these methods can detect as few as 1 20 trypanosomes/ml, although the exact sensitivity depends in part on whether prior concentration of trypanosomes is undertaken before PCR amplification.
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To overcome this problem, next methods (Kalman filter based methods) have been proposed in literatures.
Laplacian surface based methods have been widely investigated and used in many works.
Traditionally simple schedule based methods have been used to account for the effects of occupants.
ABAQUS or AutoPIPE based methods have been proposed to cover each application and excellent performance has been observed.
In recent years, several data mining based methods have been designed for discovering interesting patterns in event logs.
To prevent such degradation a number of packet buffering based methods have been proposed in the literature.
Blind source separation (BSS) based methods have been shown to be efficient and powerful to perform output-only modal identification.
Consequently, network pharmacology based methods have been adopted to predict drug target interactions (DTIs), for example, pharmaco-chemical-genomics; Random Walk; gene expression and network based analysis, etc. [22 24].
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