def __init__(self, preferences): AbstractMultCompCorrection.__init__(self, preferences) self.name = 'Bonferroni' self.method = 'Familywise error rate' self.bCorrectedValues = True self.numSignFeatures = 0 self.numComparisons = '' self.alpha = ''
def __init__(self, preferences): AbstractMultCompCorrection.__init__(self, preferences) self.name = 'Holm-Bonferroni' self.method = 'Familywise error rate' self.bCorrectedValues = False self.numSignFeatures = 0
def __init__(self, preferences): AbstractMultCompCorrection.__init__(self, preferences) self.name = 'Storey FDR' self.method = 'False discovery rate' self.bCorrectedValues = True self.numSignFeatures = 0
def __init__(self, preferences): AbstractMultCompCorrection.__init__(self, preferences) self.name = "Storey FDR" self.method = "False discovery rate" self.bCorrectedValues = True self.numSignFeatures = 0
def __init__(self, preferences): AbstractMultCompCorrection.__init__(self, preferences) self.name = 'No correction' self.method = 'Per comparison error rate' self.bCorrectedValues = True self.numSignFeatures = 0
def __init__(self, preferences): AbstractMultCompCorrection.__init__(self, preferences) self.name = 'Benjamini-Hochberg FDR' self.method = 'False discovery rate' self.bCorrectedValues = True self.numSignFeatures = 0
def __init__(self, preferences): AbstractMultCompCorrection.__init__(self, preferences) self.name = 'Sidak' self.method = 'Familywise error rate' self.bCorrectedValues = True self.numSignFeatures = 0