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Predictions of target genes are a very complex process and require experimentation.
Our predictions of target concentration on these microarray platforms equal or outperform those made using models that rely on individual free parameters for each probe.
RTV provided pharmacokinetic predictions of target tissue doses.
We obtained statistically significant predictions of target genes for 1430 potential regulatory genes.
These include correlating transcription factor (TF) binding to target mRNA expression following computational predictions of target genes or experimental measurements of DNA binding using the chromatin immunoprecipitation (ChIP -microarray or ChIP -microarray[18].
Comparison of the predictions of target genes knockout effect on apoptosis with the experimental data on siRNA-inhibition [ 33, 34] showed good agreement between the theoretical and experimental data.
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Amplicon concentrations versus each Ct value were assessed by the predictions of targets at known concentrations.
Predictions of targets of miRNAs suggest that they may regulate more than one-third of all genes.
In this assessment seed genes were chosen at random, however careful selection of seed genes is required to obtain more reliable prediction of target genes.
In this study, we put great efforts on establishing a methodology for the computational prediction of target proteins and new indications of Kampo medicines.
The test results have shown that weighted features have a primary role in the value prediction of target parameters.
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