diff --git a/NAMESPACE b/NAMESPACE
index 64f735fd8..21f2eb81c 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -11,6 +11,7 @@ export(addGenesPerc)
 export(addGiottoImage)
 export(addGiottoImageToSpatPlot)
 export(addHMRF)
+export(addHMRF_V2)
 export(addNetworkLayout)
 export(addStatistics)
 export(adjustGiottoMatrix)
@@ -75,6 +76,7 @@ export(dimPlot)
 export(dimPlot2D)
 export(dimPlot3D)
 export(doHMRF)
+export(doHMRF_V2)
 export(doHclust)
 export(doKmeans)
 export(doLeidenCluster)
@@ -95,6 +97,7 @@ export(filterDistributions)
 export(filterGiotto)
 export(filterICG)
 export(filterInteractionChangedGenes)
+export(filterSpatialGenes)
 export(findCPG)
 export(findCellProximityGenes)
 export(findGiniMarkers)
@@ -182,6 +185,7 @@ export(runSpatialDeconv)
 export(runSpatialEnrich)
 export(runUMAP)
 export(runtSNE)
+export(sampling_sp_genes)
 export(screePlot)
 export(selectPatternGenes)
 export(showClusterDendrogram)
diff --git a/man/initHMRF_V2.Rd b/man/initHMRF_V2.Rd
index 305368082..7565ba70f 100644
--- a/man/initHMRF_V2.Rd
+++ b/man/initHMRF_V2.Rd
@@ -76,6 +76,5 @@ Second, the filtered gene set is subject to sampling to select 500
 Third, once spatial genes are finalized, we are ready to initialize HMRF.
 This consists of running a K-means algorithm to determine initial centroids (nstart, hmrf_seed) of HMRF.
 The initialization is then finished.
-
 This function returns a list containing y (expression), nei (neighborhood structure), numnei (number of neighbors), blocks (graph colors), damp (dampened factor), mu (mean), sigma (covariance), k, genes, edgelist. This information is needed for the second step, doHMRF.
 }
diff --git a/src/RcppExports.o b/src/RcppExports.o
new file mode 100644
index 000000000..29c590d2a
Binary files /dev/null and b/src/RcppExports.o differ
diff --git a/src/processing.o b/src/processing.o
new file mode 100644
index 000000000..d0cea90af
Binary files /dev/null and b/src/processing.o differ