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The results of the study showed that all the nine ANN models predicted the target RLD values satisfactorily with a correlation coefficient R2 > 0.98.
An additional limitation of Experiment 1 is that the cues always validly predicted the target stimulus.
Besides SVM, we also tested a neighbor-inference method, by which if the neighboring nodes contain at least one EC number, we predicted the target (central) domain an enzyme domain; otherwise, non-enzyme domain.
We also predicted the target genes for 384 putative miRNAs.
For each of the genes, our assay successfully predicted the target sequences for effective RNAi.
Using TargetRNA2 and CopraRNA, we have predicted the target mRNAs regulated by R. prowazekii sRNAs.
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We also predicted the targets of these miRNAs.
(1) Among 1,223 human miRNAs examined, Diana-microT 3.0 predicted the targets from 532 miRNAs (43.5%).
First, we used the generalized predictive control to predict the target position.
Predictability was computed as the proportion of participants correctly predicting the target word with one of their guesses.
It is important to have an empirical strategy to adequately predict the target variable.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com