Created
May 28, 2019 11:57
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Quantile Normalization using Numpy
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| import numpy as np | |
| def quantile_normalization(m): | |
| sort_idx = np.argsort(m, axis=0) | |
| ranks = np.argsort(sort_idx, axis=0) | |
| sorted_cols = np.sort(m, axis=0) | |
| col_ranks = sorted_cols.mean(1) | |
| qnorm = col_ranks[ranks] | |
| return qnorm |
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