diff --git a/R/method_correlation.R b/R/method_correlation.R
index 3582ad4..44b36f6 100644
--- a/R/method_correlation.R
+++ b/R/method_correlation.R
@@ -71,7 +71,7 @@ correlation <- function(summarize = stats::median) {
 
                     # Combine the correlation coefficients.
                     results[,
-                        max_correlation := as.double(summarize(na.omit(
+                        max_correlation := as.double(summarize(stats::na.omit(
                             # Convert the data.table subset into a
                             # vector to get the correct na.omit
                             # behavior.
diff --git a/R/method_species_adjacency.R b/R/method_species_adjacency.R
index e7da64d..d4d042f 100644
--- a/R/method_species_adjacency.R
+++ b/R/method_species_adjacency.R
@@ -81,7 +81,7 @@ species_adjacency <- function(distance_estimate = stats::median,
                             species == species_id &
                                 gene %chin% gene_ids,
                             combined_distance := as.numeric(
-                                distance_estimate(na.omit(
+                                distance_estimate(stats::na.omit(
                                     # Convert the data.table subset into a
                                     # vector to get the correct na.omit
                                     # behavior.
@@ -108,7 +108,9 @@ species_adjacency <- function(distance_estimate = stats::median,
                     data[
                         gene %chin% reference_gene_ids,
                         combined_distance := as.numeric(
-                            distance_estimate(na.omit(as.matrix(.SD)[1, ]))
+                            distance_estimate(stats::na.omit(
+                                as.matrix(.SD)[1, ])
+                            )
                         ),
                         .SDcols = reference_gene_ids,
                         by = list(species, gene)
@@ -118,7 +120,7 @@ species_adjacency <- function(distance_estimate = stats::median,
                     results <- data[,
                         .(
                             summarized_distances = as.numeric(
-                                summarize(na.omit(combined_distance))
+                                summarize(stats::na.omit(combined_distance))
                             )
                         ),
                         by = gene