Your English writing platform
Discover LudwigSuggestions(2)
Exact(3)
P. falciparum targets with an InterPro domain Tanimoto similarity above a variable cut-off were considered as predicted, but were not ranked.
For the simulated data sets, the upper 5%% of the list are considered as predicted atypical genes.
We have shown that ltLR computed by likeLTD is bounded above by the IMP in every condition considered, as predicted by theory (Eq. (3)).
Similar(57)
Predicted probabilities below the cut-off value were considered as predicting absence (0) and probabilities above the cut-off value were considered predicting presence (1).
While the surface roughness is an important factor, the paper shows that other surface texture parameters have to be considered as well to predict the wear performance of the coating.
However, other parameters such as the specific shape of the QDs[4, 5, 31], elastic anisotropy of the material[4, 5, 30, 31], or the spacer layer thickness[4, 5, 30] need to be considered as well to predict the vertical distribution of the QDs.
A HMM-based prediction is considered as a predicted gene structure if probability of generating a gene structure is maximal over all possible states.
Thus, to make the comparison of the classification performance of the two models (MMM and SMM) on the single-label dataset at hand as equitable as possible, only the predicted class label in the top position (i.e., with the largest class posterior probability value) of the predicted set of class labels Z t for x t is considered as the predicted class label when computing |Y t ∩ Z t | in Eqs.
Every SVM model generates a predicted value, based on which all the GO terms are ranked, and the top ranked GO terms are considered as the predicted GO terms.
The position with the highest score is considered as the predicted next position.
The results are also shown in Table 3, where gravimetric estimates (MCwb) were assumed as the actual refer-ence values, whereas stack-weight estimates (MCdiff) were considered as the predicted figures needing validation.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com