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Chemically speaking, no analytical method can differentiate between added and naturally occurring glutamate.
This method can differentiate the fracture resistance of the materials in terms of crack initiation and propagation.
Instead of using the limited information, our method can differentiate the features of observations without the problem of distortion.
Our results indicate that the proposed method can differentiate between PD and normal control (NC), and outperforms the competing methods by a relatively large margin.
Our results in the whisker barrel cortex of the awake rabbit indicate that the proposed method can differentiate reliably small clusters of activated voxels corresponding to individual whisker barrels within larger areas of functional activation, even in the case of adjacent whiskers in unanesthetized subjects.
Additionally, this method can differentiate between m5U for m5C + 1 and m3C + 1, m5U for m5C + 2 and m3C + 2, and I for A + 1.
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Both curves reflect how well GGA-method can differentiate the PPI from the NPPI based on the revealed relationship among proteins in the network.
DOI: http://dx.doi.org/10.7554/eLife.06394.029 Reviewer 3 pointed out the apparent contradiction between our assertions that Hairy action on repressed and non-repressed loci was similar, yet machine learning methods can differentiate promoters that are transcriptionally repressed from others.
The GLCM method (slope = 58.5), the fractal dimension (35.9), and the RW method (31.6) can differentiate the different levels of diffuse heterogeneity.
This indicates that method 3 can differentiate between coherent and non-coherent T-F points at maximal temporal resolution, as smoothing is not required.
Liu et al. [92] proposed the multifold Bayesian Kernelization method, which can differentiate AD from NC with a high accuracy, but achieved poor results in diagnosing MCI-converter (MCIc) and MCI-non-converter (MCInc).
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