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Based on the substance activity profiles, an attempt was made to generate a pattern for the prediction of toxicity in in vivo tests.
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Nonetheless, the patterns observed for the prediction of essentiality from orthology in the M. musculus dataset paralleled those in the other organisms assessed, supporting their inclusion in the present analyses.
Apart from generating likely mechanistic hypotheses, causal inference can also be used to find potential upstream regulators with a response opposite to the observed expression pattern, which is useful for the prediction of therapeutic compound effects.
Given considerable incongruence of transcript and protein patterns, we suggest that for the prediction of physiologies consideration needs to be given to both transcript and protein profiles.
To evaluate visual pattern parameters obtained with hysteroscopy for the prediction of endometrial cancer, to evaluate observer variation of these parameters, and to present a scoring system of the parameters for the prediction of malignancy compared with subjective evaluation.
The artificial neural network (ANN) technique is then applied to identify the system pattern and serve as a function for the prediction of the ground shock.
The identification of the complement of MAP4Ks, MAP3Ks, MAP2Ks and MAPKs provides a framework for the prediction of patterns of activation of cell signaling cascades in An. gambiae cells.
The experimental results compare resonably well with the theoretical model for the prediction of flow pattern in vertical downward flow.
A CFD model was developed for the prediction of flow pattern in terms of mean velocity and eddy diffusivity profiles.
In the present work, a two-dimensional CFD model has been developed for the prediction of flow pattern in bubble column reactors.
Another interesting finding of this study is that the combined expression pattern of NGF and HO1 is helpful for the prediction of the prognosis of BRCA patients.
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CEO of Professional Science Editing for Scientists @ prosciediting.com