docs: def tip_zscores(a):
      """
      Calculates the "target identification from profiles" (TIP) zscores
      from Cheng et al. 2001, Bioinformatics 27(23):3221-3227.
  
      :param a: NumPy array, where each row is the signal for a feature.
      """
      weighted = a * a.mean(axis=0)
      scores = weighted.sum(axis=1)
      zscores = (scores - scores.mean()) / scores.std()
      return zscores