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On the other hand gene based methods are often very specific but lack of sensitivity.
Nucleic acid based methods are often used in laboratories to identify Fusarium spp. [ 8- 10].
Although EHRs are increasingly considered as a valuable resource for pharmocavgilance and machine learning based methods are often favored over other methods when analyzing large amounts of data from EHRs, it is, by using such purely data-driven methods, difficult to distinguish clinically relevant signals from systematic biases in the data.
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Assessment of the reliability of wall-frame structures using simulation based method is often prohibited by the costly and lengthily computations.
Antigen-based methods are often used in clinical settings, but these tests can lack sensitivity.
Among all of the possible methods used for solving this problem, model-based methods are often employed along with the least square estimation.
Model-based methods are often used along with least squares to estimate (or to identify in equivalent but in more engineering terms) dynamic forces, parameters and malfunctions in mechanical systems, starting from experimental vibrations.
Approximate window-based methods are often employed for gamma cameras.
In general, the HE-based methods are often used to achieve better quality images in black and white colour scales in medical applications such as digital X-rays, magnetic resonance imaging (MRI) and computed tomography scans.
While structure-based methods are often used as the benchmark and standard for protein alignments [31], Löytynoja and Goldman [24] showed that structure-based alignments are not as reliable as expected for genome annotation.
Gene-based methods are often used to infer such relationships, which are not without drawbacks.
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