def robustscale(x):
median = utilities.calculateMedian([float(y) for y in x])
iqr = utilities.calculateInterquartileRange([float(y) for y in x])
return [(float(y) - median) / iqr for y in x]
def median(x):
return [utilities.calculateMedian([float(y) for y in x])]
def binarizeOffOn(x):
median = utilities.calculateMedian(x)
return [["Off", "On"][float(y) > median] for y in x]
def binarize(x):
median = utilities.calculateMedian(x)
return [[0.0, 1.0][float(y) > median] for y in x]
def averageHighestGenes(values):
median = utilities.calculateMedian(values)
return utilities.calculateMean([x for x in values if x > median])
def selectMedian(values):
return utilities.calculateMedian(values)
