
PubMed:23611123 / 589-964
Annnotations
Allie
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
SS1_23611123_2_0 | 8-45 | expanded | denotes | variable importance to the projection |
SS2_23611123_2_0 | 47-50 | abbr | denotes | VIP |
SS1_23611123_2_1 | 212-255 | expanded | denotes | partial least-squares discriminant analysis |
SS2_23611123_2_1 | 257-263 | abbr | denotes | PLS-DA |
SS1_23611123_2_2 | 282-310 | expanded | denotes | Monte Carlo cross validation |
SS2_23611123_2_2 | 312-316 | abbr | denotes | MCCV |
AE1_23611123_2_0 | SS1_23611123_2_0 | SS2_23611123_2_0 | abbreviatedTo | variable importance to the projection,VIP |
AE1_23611123_2_1 | SS1_23611123_2_1 | SS2_23611123_2_1 | abbreviatedTo | partial least-squares discriminant analysis,PLS-DA |
AE1_23611123_2_2 | SS1_23611123_2_2 | SS2_23611123_2_2 | abbreviatedTo | Monte Carlo cross validation,MCCV |
sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
TextSentencer_T3 | 0-375 | Sentence | denotes | Several variable importance to the projection (VIP)- and b-coefficient-based variable selection methods were tested, both individually and through their intersection, and the resulting data sets were analyzed by partial least-squares discriminant analysis (PLS-DA) and submitted to Monte Carlo cross validation (MCCV) and permutation tests to evaluate model predictive power. |
T3 | 0-375 | Sentence | denotes | Several variable importance to the projection (VIP)- and b-coefficient-based variable selection methods were tested, both individually and through their intersection, and the resulting data sets were analyzed by partial least-squares discriminant analysis (PLS-DA) and submitted to Monte Carlo cross validation (MCCV) and permutation tests to evaluate model predictive power. |