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A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve
Motivation: Protein expression profiling for differences indicative of early cancer holds promise for improving diagnostics. Due to their high dimensionality, statistical analysis of proteomic data from mass spectrometers is challenging in many aspects such as dimension reduction, feature subset selection as well as construction of classification rules. Search of an optimal feature subset, commonly known as the feature subset selection (FSS) problem, is an important step towards diseasedoi:10.1093/bioinformatics/btm442 pmid:17878205 fatcat:vc4y5ztaf5hy3jzjiwf4fxjteq