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It can be seen that the affinity measurement for training data and testing data in this procedure are inconsistent thus they are heterogeneous.
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Simple copula models are sufficient to incorporate the dependence structure of the data in the procedure.
For this purpose, the Radial Basis Function (RBF) neural work and finite element (FE) method are applied to obtain the valuable data in the procedure.
An important source of information from the raw data is lost in this procedure if we start from paired-end reads.
Given the excellent agreement between in silico and in vitro data, this procedure is currently being employed in the design a new series of more selective and potent BVDV inhibitors.
The latter analysis was done in order to reduce potential bias due to the unequal contribution of data from different individuals to the overall dataset because we could not used weighted data in this particular statistical procedure.
We interpreted this higher band to be pro-FD based on previous data using this procedure in the MASP-1/3 –/– animals [ 13].
The questionnaire comprised 91 questions on demographic, procedural, and outcome data in patients undergoing this procedure (see Supplemental data).
In the second iteration, completely new analysis is conducted in the remaining data; this procedure is then repeated until there are more clusters with p-value less than the specified one (6).
Current data show that this procedure reproducibly results in liver metastases in almost all animals.
The abrupt edge in the data introduced by this procedure was smoothed to zero using a Gaussian fall off.
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