BioMed Research International / 2021 / Article / Tab 1 / Research Article
GEE-TGDR: A Longitudinal Feature Selection Algorithm and Its Application to lncRNA Expression Profiles for Psoriasis Patients Treated with Immune Therapies Table 1 Results of psoriasis lncRNA longitudinal data.
Ave. of MSE (5-fold CVs) SD of MSE (CVs) MSE (all data) Identified lncRNAs (using all data) Baseline Week 1 Week 2 Week 4 AR1 14.456 3.258 2.101 RAMP2-AS1 RAMP2-AS1 RAMP2-AS1 RAMP2-AS1 Unstructured 3.725 0.498 0.793 XIST RAMP2-AS1 MIR205 LRRC75A-AS1 PAXIP1-AS1 LINC00667 RAMP2-AS1 MIR205 LRRC75A-AS1 TMEM99 LINC01018 PAXIP1-AS1 LINC01139 RAMP2-AS1 TMEM99 LINC01018 PAXIP1-AS1 LINC01139 RAMP2-AS1 Exchangeable 2.758 1.649 0.767 XIST RAMP2-AS1 MIR205 LRRC75A-AS1 XIST LINC01139 SDHAP2 RAMP2-AS1 TMEM99 LINC01139 RAMP2-AS1 TMEM99 XIST LINC01018 PAXIP1-AS1 LINC01139 RAMP2-AS1 Independent 2.675 1.694 0.760 SNHG5 LINC01139 RAMP2-AS1 MIR205 SNHG5 RAMP2-AS1 MIR205 SNHG5 TMEM99 RAMP2-AS1 MIR205 SNHG5 XIST LINC01018 LINC01139 RAMP2-AS1 MIR205
Only baseline expression values were used. AR1: autoregressive order 1; MSE: mean squared error; SD: standard deviation; CV: crossvalidation.