Sentence examples for likely prediction from inspiring English sources
"likely prediction" is a correct and usable phrase in written English
It can be used when discussing something that is likely to happen in the future based on current information or trends. Example: Based on the current sales data, the likely prediction is that our company will exceed its revenue goals for the quarter.
The second study considers the analysis of biological microarray data of huge input dimensionality coupled with sparse data for the likely prediction of human bladder cancer.
Notably, when the agent's prediction was concordant rather than discordant with the subject's own likely prediction, participants credited people more than algorithms for correct predictions and penalized them less for incorrect predictions.
Within each participant, for each of the selected regions, a confusion matrix was constructed based on the most likely prediction of the classifier.
We calculate a similarity measure between two domains di and dj in kingdom k as: <img src="http://journals.plos.org/plosone/article/asset?id=info?doi/10.1371/journal.pone.0005096.e014.PNG" class= inline-graphic"/> This measure was chosen as it allows similarity to be captured based on the probability over all localization classes considered, and not solely on the most likely prediction.
A likely prediction from their model is that Hsp42 overexpression might shorten lifespan, as these cells accumulated an AIDOPOD at an earlier age than wild-type cells.
It is not currently clear in the field whether Mre11 and Rec114 must be on chromosomes to allow for DSB formation, however this is a likely prediction and prevailing model in the field (see Panizza et al., 2011).
Such inferences reflect the most probable or likely predictions without additional information/processes assumed.
However, in both cases, the next most likely localization prediction given by our method is the correct one.
For industry applications it is feasible and most likely that prediction equations can be updated as information on new animals becomes available, and this will ensure a minimal lag between animals in the training set and the test set.
This replicates in humans a previous finding from monkeys of a change in gain and sensitivity during reward processing determined by the range of likely reward prediction errors [Tobler et al., 2005].
The M. leidyi sequences are very likely incomplete predictions as no signal peptides were identified (supplementary material Table S1).
