Sentence examples for probable correct from inspiring English sources
Sequence alignments are typically evaluated by a number of established criteria: sequence conservation, the number of aligned residues, the frequency of gaps, and the probable correct gap placement.
After disambiguating and selecting the most probable correct word using the ranking score described above, we replaced the misspelled word with the correct one.
Values between 1.999 and 1.700 refer to probable correct identification on genus level and values below 1.7000 were regarded as non-identifiable.
Probable correct intake or probable adherence: Only those patients who stated they had taken the complete treatment schedule, following the treatment protocol exactly were considered "probably adherent" (this was not 'certain' as each dose had not been observed).
(D ) 3D-model of Cp MRP, embedded in a lipid bilayer, illustrating its probable correct global topology based on I-TASSER (TM-score of 0.52 ± 0.15; C-score: −1,57) and the localization of characteristic sequence motifs.
The underlying principle is bias learning based on probable approximately correct learning (PAC learning) [79].
On the other hand, if, as was expected, from the age of 18 or 19 the behaviour of the measurements was asyntotic, ages could be put in one group where extreme measures are more probable thus correcting a possible skewness, stemming from underestimating the population's variance.
It is probable that Petronius' correct name was Titus Petronius Niger.
To correct probable errors in the Genbank gene maps, we combined the use of a different gene-calling algorithm and a comparative genomics approach.
The posterior probabilities [ Equations (5) and (6)] for the eight models (M1– M8) that can be constructed by eliminating combinations of and from the linear SDE model and from the non-linear SDE model (see Supplementary Table S3) indicate that the final non-linear ODE model M8 is > times more probable to be correct than the initial linear model M4.
In MEBC, we simply assign more weights on the most probable classes for correcting biases [15, 34], while in RFBC, we build a second RF model to estimate the biases generated from the original RF model.
