Sign consistency bagging based variable importance - COBRE

Description: This collection contains machine learning variable importance measures derived using different methods about COBRE resting state fMRI dataset. The variable importances are generated based on the pre-processed version of the data https://figshare.com/articles/COBRE_preprocessed_with_NIAK_0_12_4/1160600. a link to the original data is http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html . Briefly, the datset includes preprocessed resting-state functional magnetic resonance images for 72 patients diagnosed with schizophrenia (58 males, age range = 18-65 yrs) and 74 healthy controls (51 males, age range = 18-65 yrs). The fMRI dataset for each subject feature 150 EPI blood-oxygenation level dependent (BOLD) volumes were obtained (TR = 2 s, TE = 29 ms, FA = 75 degrees, 32 slices, voxel size = 3x3x4 mm3, matrix size = 64x64). 16 controls and 29 schizophrenia patients were rejected from the subsequent analyses, yielding 43 patients and 58 healthy controls to be used in the experiment.

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