How to run:

netImputeObj = netImpute()

# load data (rows are genes and cols are cells)
data = utils.load_data(data_path)

# preProcessing (Optinal, remove unexpressed genes)
data = netImputeObj.preProcessing(data)

# library size normalization if data is not normalized
data = netImputeObj.libSizeNorm(data)

dataImputed = netImputeObj.impute(data, alpha =  0.5)