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Moreover, our studies reiterate that biological patterns generally follow non-linear equations/functions which may not be easily predictable by conventional computational methods.
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That's because these processes do not involve independent sequential steps, so conventional computational methods are just not up to the job.
To overcome the unboundedness, conventional computational methods lead to extremely expensive costs, especially in high dimensions with a simple treatment of boundary conditions by making the computational domain large enough.
Conventional computational methods lead to extremely expensive costs, especially in high dimensions.
Therefore, they can solve many engineering problems that are not suited to the conventional computational methods [17, 47, 53].
Conventional computational methods using microarray data to investigate transcriptional regulation focus mainly on identification of transcription factor binding sites [ 3- 5].
These results were in good accordance with those obtained by conventional computational modeling.
The perspectives can be observed continuous within an angle of 8.58° by conventional computational integral imaging system.
Protein interactions predicted by computational methods are even noisier.
Predicting off-targets by computational methods is getting increasing importance in early drug discovery stages.
NE performed computational mining and ZP generated markers by experimental and computational methods.
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