diff --git a/DESCRIPTION b/DESCRIPTION
index 04f2a9a..4ce04e3 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,7 +1,7 @@
 Package: scmap
 Type: Package
 Title: A tool for unsupervised projection of single cell RNA-seq data
-Version: 1.1.4
+Version: 1.1.5
 Author: Vladimir Kiselev
 Maintainer: Vladimir Kiselev <vladimir.yu.kiselev@gmail.com>
 Authors@R: c(person("Vladimir", "Kiselev",
diff --git a/R/CoreMethods.R b/R/CoreMethods.R
index 53c0d27..aaf8000 100755
--- a/R/CoreMethods.R
+++ b/R/CoreMethods.R
@@ -475,4 +475,4 @@ scmapCell2Cluster.SingleCellExperiment <- function(scmapCell_results, cluster_li
 
 #' @rdname scmapCell2Cluster
 #' @aliases scmapCell2Cluster
-setMethod("scmapCell2Cluster", "SingleCellExperiment", scmapCell2Cluster.SingleCellExperiment)
+setMethod("scmapCell2Cluster", "list", scmapCell2Cluster.SingleCellExperiment)
diff --git a/man/scmapCell2Cluster.Rd b/man/scmapCell2Cluster.Rd
index d0f8e92..1090f80 100644
--- a/man/scmapCell2Cluster.Rd
+++ b/man/scmapCell2Cluster.Rd
@@ -5,22 +5,20 @@
 \alias{scmapCell2Cluster}
 \alias{scmapCell2Cluster}
 \alias{scmapCell2Cluster.SingleCellExperiment}
-\alias{scmapCell2Cluster,SingleCellExperiment-method}
+\alias{scmapCell2Cluster,list-method}
 \alias{scmapCell2Cluster}
 \title{Approximate k-NN cell-type classification using scfinemap}
 \usage{
-scmapCell2Cluster(projection = NULL, scmapCell_results = NULL,
-  cluster_list = NULL, w = 3, threshold = 0.5)
+scmapCell2Cluster(scmapCell_results = NULL, cluster_list = NULL, w = 3,
+  threshold = 0.5)
 
-scmapCell2Cluster.SingleCellExperiment(projection, scmapCell_results,
-  cluster_list, w, threshold)
+scmapCell2Cluster.SingleCellExperiment(scmapCell_results, cluster_list, w,
+  threshold)
 
-\S4method{scmapCell2Cluster}{SingleCellExperiment}(projection = NULL,
-  scmapCell_results = NULL, cluster_list = NULL, w = 3, threshold = 0.5)
+\S4method{scmapCell2Cluster}{list}(scmapCell_results = NULL,
+  cluster_list = NULL, w = 3, threshold = 0.5)
 }
 \arguments{
-\item{projection}{an object of \code{\link[SingleCellExperiment]{SingleCellExperiment}} class}
-
 \item{scmapCell_results}{the output of `scmapCell()` with `projection` as its input.}
 
 \item{cluster_list}{list of cell cluster labels correspondint to each index against which the `projection` has been projected}
@@ -53,6 +51,6 @@ sce <- sce[!duplicated(rownames(sce)), ]
 sce <- selectFeatures(sce)
 sce <- indexCell(sce)
 scmapCell_results <- scmapCell(sce, list(metadata(sce)$scmap_cell_index))
-sce <- scmapCell2Cluster(sce, scmapCell_results, cluster_list = list(colData(sce)$cell_type1))
+sce <- scmapCell2Cluster(scmapCell_results, cluster_list = list(colData(sce)$cell_type1))
 
 }
diff --git a/vignettes/scmap.Rmd b/vignettes/scmap.Rmd
index 4373fe2..dc1a932 100755
--- a/vignettes/scmap.Rmd
+++ b/vignettes/scmap.Rmd
@@ -206,13 +206,13 @@ names(scmapCell_results)
 For each dataset there are two matricies. `cells` matrix contains the top 10 (`scmap` default) cell IDs of the cells of the reference dataset that a given cell of the projection dataset is closest to:
 
 ```{r}
-scmapCell_results$xin$cells[,1:3]
+scmapCell_results$yan$cells[,1:3]
 ```
 
 `similarities` matrix contains corresponding cosine similarities:
 
 ```{r}
-scmapCell_results$xin$similarities[,1:3]
+scmapCell_results$yan$similarities[,1:3]
 ```
 
 ## Cluster annotation
@@ -221,7 +221,6 @@ If cell cluster annotation is available for the reference datasets, in addition
 
 ```{r}
 scmapCell_clusters <- scmapCell2Cluster(
-  sce, 
   scmapCell_results, 
   list(
     as.character(colData(sce)$cell_type1)