sys.stderr.write("noise error set to {}\n".format(noise_level))
else:
noise_level = None
sys.stderr.write("finish computing fitting parameters\n")
////////////////////////////////////////////////
// after the distributions are fitted
// now the matrix values are evaluated
After Change
transf_ma = np.zeros(len(triu_ma.data))
start_time = time.time()
// transform each value of the data matrix to p-value, obs/exp, correlation etc.
log.debug("computing transform values\n")
for idx, data in enumerate(triu_ma.data):
// skip if original value is less than noise level
if noise_level:
if per_chr:
