The phrase "automatically predicted" is correct and usable in written English.
It can be used in contexts where something is forecasted or estimated without manual intervention, often in relation to data analysis or machine learning.
Example: "The system automatically predicted the sales figures for the next quarter based on historical data."
Alternatives: "predicted automatically" or "forecasted without intervention.".
It is automatically predicted, if the user chooses the CCTOP prediction, or can be entered as input topology by giving the same localization before and after the membrane region (e.g. …IIIIMMM…MMMIII… for intracellular re-entrant loop and …OOOMMM…MMMOOO… for extracellular re-entrant loop, respectively).
In this case, the authors used P. falciparum genes that had been automatically predicted by the PlasmoDB consortium using three different gene prediction programs (Glimmer, Gene finder and FullPhat – [18]) and scanned their corresponding amino acid sequences for the presence of seven TMs using HMMTOP 2.0.
Since no edge cracks are present in the fourth material combination tested experimentally, its lack of bifurcations is automatically predicted by the model.
To maximize the likelihood of representing all putative genes (∼14,000) on the array, two distinct sets of automatically predicted gene calls were used and integrated into the online F. graminearum Genome DataBase.
Through a trained SVM model, the emotional tendency of the testing data could be automatically predicted.
Automatically predicted pathways were then curated manually using microarray expression and proteome data.
For one thing, the predictive text function is highly customised: "Selecting 'the' automatically predicts 'black'black
Working towards that goal, this work presents an approach to automatically predict the overall reading aloud ability of primary school children by employing automatic speech processing methods.
In this paper, we present a framework to automatically predict vulnerabilities based on CCC metrics.
Their system uses a neural network to automatically predict if a specific element will appear frequently in a data stream.
New software was developed that can automatically predict all the possible roaming pathways within a given chemical kinetic mechanism.
