Only predictors that predict RNA-binding residues from protein primary sequence information were selected for performance comparison.
Predictions of the intrinsic disorder propensity can be performed using a set of per-residue Predictors Of Natural disordered regions (PONDR®) algorithms, PONDR® VLXT, VL3 and VSL1/2 or a set of binary predictors that predict disorder on the level of whole proteins, charge-hydrophathy plot (CH-plot) and cumulative distribution function (CDF) analysis.
Multivariate logistic regression analysis was used to determine predictor variables that predict the postoperative complications, hospital stay and mortality.
Due to the pressing clinical need, several other investigators have also developed gene predictors that can predict outcome in ER+ BC treated with adjuvant tamoxifen monotherapy [ 11, 13, 23, 24].
These V, C, and S disorder flavors (corresponding to the names of the disorder predictors that best predict them: VL-2V, VL-2C, and VL-2S) show differences in sequence composition, and combinations of flavors could be associated with different protein functions.
Motivational theories propose that motivation determines behaviour, and therefore the best predictors of behaviour are factors that predict or determine motivation (or intention).
The Theory of Planned Behavior (TPB) [ 49] proposes that motivation determines behavior, and therefore the best predictors of behavior are factors that predict or determine motivation.
The well defined predictors include the presence of hormone receptors that predict the response to endocrine therapy and the HER2 status that predicts the response to Tratuzumab.
These predictors are quality-score (that predicts sequence conservation [ 20]), PSIPred (that predicts secondary structures like α-helices and β-strands [ 21, 22]), SEG (that finds low-complexity regions [ 23]) and GlobPlot (that predicts segments of globularity [ 24]).
Therefore, methods to detect levels of a predictor variable that predict the outcome and determine the threshold for clinical intervention would provide a beneficial tool for clinical investigators and epidemiologists.
The best individual predictors (ie, only those variables that predicted a statistically significant proportion of variance in univariate regression analyses) were all included in a single stepwise multiple regression analysis to identify the best model.
