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

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