deletions | additions       diff --git a/subsection_Several_popular_methods_begin__.tex b/subsection_Several_popular_methods_begin__.tex  index 7b52ecd..b69d0a8 100644  --- a/subsection_Several_popular_methods_begin__.tex  +++ b/subsection_Several_popular_methods_begin__.tex 
...
\begin{itemize}  \item Localization: scoring the distance of the peak signal from the risk region based on the average distance across the entire genomic region.   \item Detection: For a given simulated dataset and a given method, we used max. statistics across all the SNV as our global test statistics and determined its null distribution by permuting the case-control labels.   \begin{itemize}  \item For each of the test statistic evaluated, we used either maximum statistic or the maximum of $- log_{10}$of p value as the score for the dataset.  \item We intended to compare the distribution of $200$ scores across different test statistics.  \item Howeveer, test statistics are not comparable since they are not on the same scale.  \item To make these score distributions comparable, we converted scores to their corresponding empirical p values.  \item We defined these p values as the proportion of observed values under the null model that are greater than or equal to the observed value under the alternative model.  \item we then compared the distribution of empirical p values for the differet test statistics by plotting empirical cumulative ditribution function (ECDF) under each method.  \end{itemize}  \end{itemize}     \end{enumerate}