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The E-step is motivated by the\npopular two-group approach to multiple testing. The result is a\nPaRtitiOned empirical Bayes Ecm (PROBE) algorithm applied to\nsparse high-dimensional linear regression, implemented using\none-at-a-time or all-at-once type optimization. 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