docs: def tip_fdr(a, alpha=0.05):
      """
      Returns adjusted TIP p-values for a particular `alpha`.
  
      (see :func:`tip_zscores` for more info)
  
      :param a: NumPy array, where each row is the signal for a feature
      :param alpha: False discovery rate
  
      """
      zscores = tip_zscores(a)
      pvals = stats.norm.pdf(zscores)
      rejected, fdrs = fdrcorrection(pvals)
      return fdrs