Of the three data sources considered in this study, results clearly show that LiDAR provides the most precise predictions of the 300 Index.
Even though genetic signatures may provide the most precise prognostic prediction for individual tumor patients, it is still not widely accepted as an essential component in the choice of therapy.
PSORTb is the most precise localization prediction tool available, and its consensus approach allows the user to acquire detailed information about protein features, such as homology to protein of known localization, or the presence of a signal peptide, transmembrane helices, or specific sequence motifs and patterns.
PSORTb version 2.0 (Gardy et al., 2005), the most precise bacterial SCL prediction software (Gardy and Brinkman, 2006), was introduced in 2005, and has been widely used for the SCL prediction of individual proteins as well as for whole proteomes.
The most precise model for prediction of AMEn and AMEn/GE values for the whole data analysed was that based on NIRS equations (Rcv2= 0.952 and 0.926, respectively).
In evaluating rank-flexible predictions, we define the taxonomic precision (the rank at which the classification is made) and accuracy (the most precise rank in the prediction that is correct).
It is reported that the time series analysis based techniques like the autoregressive integrated moving average (ARIMA) is one of the most precise methods for the prediction of traffic flow when compared to other available techniques as mentioned above [27].
Thus, we only try to compare drugCIPHER with a currently available non-genome-wide method, the BLM [11], which is also the most precise model for target prediction.
The two main challenges of small area estimation are calculating the estimate with any level of precision given the small sample size at the small area level and estimation of its prediction error and there is no consensus on which small area estimation technique provides the most precise estimate with the smallest prediction error.
