code: def z_score(pvalue):
      """Return the z-score corresponding to a given p-value."""
      pvalue = np.minimum(np.maximum(pvalue, 1.0e-300), 1.0 - TINY)
      z = norm.isf(pvalue)
      return z
  
file_path: nipy/nipy/algorithms/statistics/utils.py
imports: from itertools import combinations
  import numpy
  from scipy.stats import norm
label_desc: Use image node_id 1 for calling a global function with example usage: z_score(pvalue) and returns: z