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  "Title": "Single-gene classifiers and outlier-resistant detection of\ndifferential expression for two-group and survival problems",
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  "Date": "2014-03-20",
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  "Description": "Messina is a collection of algorithms for constructing\noptimally robust single-gene classifiers, and for identifying\ndifferential expression in the presence of outliers or unknown\nsample subgroups.  The methods have application in identifying\nlead features to develop into clinical tests (both diagnostic\nand prognostic), and in identifying differential expression\nwhen a fraction of samples show unusual patterns of expression.",
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