def get_fisher_scores_vs_background(self):
        '''
        Returns
        -------
            pd.DataFrame of fisher scores vs background
        '''
        df = self.get_term_and_background_counts()
        odds_ratio, p_values = self._get_fisher_scores_from_counts(
            df['corpus'], df['background'])
        df['Odds ratio'] = odds_ratio
        df['Bonferroni-corrected p-values'] = p_values * len(df)
        df.sort_values(by=['Bonferroni-corrected p-values', 'Odds ratio'],
                       ascending=[True, False])
        return df