Exact(60)
Firstly, RNA prediction algorithms were used to predict SECIS elements.
Several prediction methods were used to predict the antigenic sites.
Target gene prediction and signal pathway analyses were used to predict the function of miRNAs.
These results were used to predict single-copy genes using homologies with NCBI and Ensembl49 databases.
tRNAscan-SE36 and RNAmmer37 were used to predict tRNA and rRNA, respectively.
Various combinations of these proteins were used to predict radiation dose by linear regression.
Different ML methods were used to predict air cell height.
Local models were used to predict efficiency and peak asymmetry.
Logistic regression models were used to predict ATS.
Simplified design formulae were used to predict their ultimate strength.
Sometimes, however, they change those behaviors, and the models that were used to predict them may no longer be valid.
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