4.2.0

satijalab · Sep 21, 2022 · fc285f5 · fc285f5
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: Seurat
-Version: 4.1.1.9006
-Date: 2022-09-20
+Version: 4.2.0
+Date: 2022-09-21
 Title: Tools for Single Cell Genomics
 Description: A toolkit for quality control, analysis, and exploration of single cell RNA sequencing data. 'Seurat' aims to enable users to identify and interpret sources of heterogeneity from single cell transcriptomic measurements, and to integrate diverse types of single cell data. See Satija R, Farrell J, Gennert D, et al (2015) <doi:10.1038/nbt.3192>, Macosko E, Basu A, Satija R, et al (2015) <doi:10.1016/j.cell.2015.05.002>, Stuart T, Butler A, et al (2019) <doi:10.1016/j.cell.2019.05.031>, and Hao, Hao, et al (2020) <doi:10.1101/2020.10.12.335331> for more details.
 Authors@R: c(
@@ -48,7 +48,7 @@ Imports:
     leiden (>= 0.3.1),
     lmtest,
     MASS,
-    Matrix (>= 1.2-14),
+    Matrix (>= 1.5.0),
     matrixStats,
     miniUI,
     patchwork,
@@ -66,7 +66,7 @@ Imports:
     scales,
     scattermore (>= 0.7),
     sctransform (>= 0.3.4),
-    SeuratObject (>= 4.1.0),
+    SeuratObject (>= 4.1.2),
     shiny,
     spatstat.core,
     spatstat.geom,

diff --git a/R/utilities.R b/R/utilities.R
@@ -2340,7 +2340,7 @@ RowVarSparse <- function(mat) {
 RowSparseCheck <- function(mat) {
   if (!inherits(x = mat, what = "sparseMatrix")) {
     stop("Input should be sparse matrix")
-  } else if (class(x = mat) != "dgCMatrix") {
+  } else if (!is(object = mat, class2 = "dgCMatrix")) {
     warning("Input matrix is converted to dgCMatrix.")
     mat <- as.sparse(x = mat)
   }

diff --git a/cran-comments.md b/cran-comments.md
@@ -1,10 +1,7 @@
-# Seurat v4.1.1
+# Seurat v4.2.0
 
 ## Test environments
 * local Ubuntu 20.04 install, R 4.1.3
-* Ubuntu 16.04.6 (on travis-ci), R 4.0.0, R devel
-* macOS 10.13.6 (on travis-ci), R 4.0.2
-* Windows Server 2012 R2 (on AppVeyor), R 4.1.0 Patched
 * win-builder (release, devel)
 
 ## R CMD check results