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PubMed:23611123 / 589-964 JSONTXT

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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.