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The fMRI data includes 80 unmedicated MDD (52 females, age±sd. 33±11) and 80 healthy controls (HCs) (41 females, age±sd. 31±10). We used AFNI(Cox, 1996) to process the rs-fMRI data and extract 3003 z-transformed correlation coefficients between 78 brain regions identified by a functional region of interest atlas (Shirer, et al., 2012). 3 bad subject removed for final dimension: 157 x 3004 (3003 + pheno)
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Data frame with 157 rows, 3003 all-pairs correlation variables and a pheno variable +/- 1.
Trang Le, W. K. Simmons, M. Misaki, B.C. White, J. Savitz, J. Bodurka, and B. A. McKinney. “Privacy preserving evaporative cooling feature selection and classification with Relief-F and Random Forests,” Bioinformatics. Accepted. https://doi.org/10.1093/bioinformatics/btx298. 2017
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