deletions | additions       diff --git a/section_Comparison_of_imputation_algorithms__.tex b/section_Comparison_of_imputation_algorithms__.tex  index b603ab0..dca6263 100644  --- a/section_Comparison_of_imputation_algorithms__.tex  +++ b/section_Comparison_of_imputation_algorithms__.tex 
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\item {\bf MICE}~\cite{Azur_2011}: Average multiple imputations generated using Gibbs sampling from the joint distribution of columns.   \end{itemize}  We evaluated the performance of these methods using three-fold cross validation on BD2009 (~\ref{tab:imputation}), only considering peptides which occurred in at least three alleles and excluding alleles with less than five measurements. All imputation methods were implemented in the \textit{fancyimpute} Python library~\cite{fancyimpute-0-0-16}.  Since MICE outperformed the other methods on two of the three predictor metrics, we selected it for the subsequent neural network experiments. \begin{table}[htbp]  \centering