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There were two types of predictions the participants could submit for the CHEMDNER task: a ranked list of unique chemical entities described on each document, for the Chemical Document Indexing (CDI) subtask, and the start and end indices of each chemical entity mentioned on each document for the Chemical Entity Mention (CEM) subtask.
Thus the two types of predictions can be used in conjunction to find the impact of the protein context on the secondary structure of its peptide elements, to identify the effect of mutations on secondary structures and to select the mutations that would reinforce the helicity of peptides, as was done in the case of peptide K156 (Table 1a) [43].
We are interested in two types of predictions.
There are two types of predictions, one at the nucleotide level, and the other at the DNA fragment level.
The exploration bonus hypothesis makes two types of predictions: a first one relates to the potency with which the status of being novel or familiar can predict reward and a second one relates to the contextually remote effects of this contingency on other stimuli.
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The two types of prediction models were as follows: (i) D14_ALP model that aimed to predict the ALP activity value measured on 14th day from the preceding morphological features (days 1 14); and (ii) D21_Ca model that aimed to predict the calcium deposition value measured after an additional week of differentiation culture (day 21) from the previous week's morphological features (days 15 21).
The sampled data were then fed into a GLM to make two types of prediction: (1) habitat suitability and (2) presence/absence.
There are two types of prediction based on process parameters and surface roughness (SR) of a machined part.
Two types of prediction were performed: one was short-term prediction on a weekly basis, and the other was long-term monthly prediction.
For each of the three types of parameter evaluations, four types of prediction models were constructed, which covered the two types of prediction goals and two types of modeling scenarios.
Two types of prediction can be carried out with BRCA-MoNet including similar prediction and reverse prediction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com