... | ... |
@@ -6,11 +6,12 @@ |
6 | 6 |
#' it exists. Otherwise, the \code{useAssay} |
7 | 7 |
#' \link{assay} slot in \code{x} will be used if |
8 | 8 |
#' \code{x} is a \linkS4class{SingleCellExperiment} object. |
9 |
-#' @param x A numeric \link{matrix} of counts or a |
|
10 |
-#' \linkS4class{SingleCellExperiment} |
|
11 |
-#' with the matrix located in the assay slot under \code{useAssay} in |
|
12 |
-#' \code{altExp(x, altExpName)}. |
|
13 |
-#' Rows represent features and columns represent cells. |
|
9 |
+#' @param x A \linkS4class{SingleCellExperiment} |
|
10 |
+#' with the matrix located in the assay slot under \code{useAssay}. |
|
11 |
+#' Rows represent features and columns represent cells. Alternatively, |
|
12 |
+#' any matrix-like object that can be coerced to a sparse matrix of class |
|
13 |
+#' "dgCMatrix" can be directly used as input. The matrix will automatically be |
|
14 |
+#' converted to a \linkS4class{SingleCellExperiment} object. |
|
14 | 15 |
#' @param useAssay A string specifying the name of the |
15 | 16 |
#' \link{assay} slot to use. Default "counts". |
16 | 17 |
#' @param altExpName The name for the \link{altExp} slot |
... | ... |
@@ -165,7 +166,7 @@ setMethod("celda_C", |
165 | 166 |
#' @rdname celda_C |
166 | 167 |
#' @export |
167 | 168 |
setMethod("celda_C", |
168 |
- signature(x = "matrix"), |
|
169 |
+ signature(x = "ANY"), |
|
169 | 170 |
function(x, |
170 | 171 |
useAssay = "counts", |
171 | 172 |
altExpName = "featureSubset", |
... | ... |
@@ -186,6 +187,9 @@ setMethod("celda_C", |
186 | 187 |
logfile = NULL, |
187 | 188 |
verbose = TRUE) { |
188 | 189 |
|
190 |
+ # Convert to sparse matrix |
|
191 |
+ x <- as(x, "dgCMatrix") |
|
192 |
+ |
|
189 | 193 |
ls <- list() |
190 | 194 |
ls[[useAssay]] <- x |
191 | 195 |
sce <- SingleCellExperiment::SingleCellExperiment(assays = ls) |
... | ... |
@@ -6,11 +6,12 @@ |
6 | 6 |
#' it exists. Otherwise, the \code{useAssay} |
7 | 7 |
#' \link{assay} slot in \code{x} will be used if |
8 | 8 |
#' \code{x} is a \linkS4class{SingleCellExperiment} object. |
9 |
-#' @param x A numeric \link{matrix} of counts or a |
|
10 |
-#' \linkS4class{SingleCellExperiment} |
|
11 |
-#' with the matrix located in the \link{assay} |
|
12 |
-#' slot under \code{useAssay} in \code{altExp(x, altExpName)}. |
|
13 |
-#' Rows represent features and columns represent cells. |
|
9 |
+#' @param x A \linkS4class{SingleCellExperiment} |
|
10 |
+#' with the matrix located in the assay slot under \code{useAssay}. |
|
11 |
+#' Rows represent features and columns represent cells. Alternatively, |
|
12 |
+#' any matrix-like object that can be coerced to a sparse matrix of class |
|
13 |
+#' "dgCMatrix" can be directly used as input. The matrix will automatically be |
|
14 |
+#' converted to a \linkS4class{SingleCellExperiment} object. |
|
14 | 15 |
#' @param useAssay A string specifying the name of the |
15 | 16 |
#' \link{assay} slot to use. Default "counts". |
16 | 17 |
#' @param altExpName The name for the \link{altExp} slot |
... | ... |
@@ -194,7 +195,7 @@ setMethod("celda_CG", |
194 | 195 |
#' nchains = 1) |
195 | 196 |
#' @export |
196 | 197 |
setMethod("celda_CG", |
197 |
- signature(x = "matrix"), |
|
198 |
+ signature(x = "ANY"), |
|
198 | 199 |
function(x, |
199 | 200 |
useAssay = "counts", |
200 | 201 |
altExpName = "featureSubset", |
... | ... |
@@ -220,6 +221,9 @@ setMethod("celda_CG", |
220 | 221 |
logfile = NULL, |
221 | 222 |
verbose = TRUE) { |
222 | 223 |
|
224 |
+ # Convert to sparse matrix |
|
225 |
+ x <- as(x, "dgCMatrix") |
|
226 |
+ |
|
223 | 227 |
ls <- list() |
224 | 228 |
ls[[useAssay]] <- x |
225 | 229 |
sce <- SingleCellExperiment::SingleCellExperiment(assays = ls) |
... | ... |
@@ -6,10 +6,12 @@ |
6 | 6 |
#' it exists. Otherwise, the \code{useAssay} |
7 | 7 |
#' \link{assay} slot in \code{x} will be used if |
8 | 8 |
#' \code{x} is a \linkS4class{SingleCellExperiment} object. |
9 |
-#' @param x A numeric \link{matrix} of counts or a |
|
10 |
-#' \linkS4class{SingleCellExperiment} |
|
9 |
+#' @param x A \linkS4class{SingleCellExperiment} |
|
11 | 10 |
#' with the matrix located in the assay slot under \code{useAssay}. |
12 |
-#' Rows represent features and columns represent cells. |
|
11 |
+#' Rows represent features and columns represent cells. Alternatively, |
|
12 |
+#' any matrix-like object that can be coerced to a sparse matrix of class |
|
13 |
+#' "dgCMatrix" can be directly used as input. The matrix will automatically be |
|
14 |
+#' converted to a \linkS4class{SingleCellExperiment} object. |
|
13 | 15 |
#' @param useAssay A string specifying the name of the |
14 | 16 |
#' \link{assay} slot to use. Default "counts". |
15 | 17 |
#' @param altExpName The name for the \link{altExp} slot |
... | ... |
@@ -149,7 +151,7 @@ setMethod("celda_G", |
149 | 151 |
#' @rdname celda_G |
150 | 152 |
#' @export |
151 | 153 |
setMethod("celda_G", |
152 |
- signature(x = "matrix"), |
|
154 |
+ signature(x = "ANY"), |
|
153 | 155 |
function(x, |
154 | 156 |
useAssay = "counts", |
155 | 157 |
altExpName = "featureSubset", |
... | ... |
@@ -169,6 +171,9 @@ setMethod("celda_G", |
169 | 171 |
logfile = NULL, |
170 | 172 |
verbose = TRUE) { |
171 | 173 |
|
174 |
+ # Convert to sparse matrix |
|
175 |
+ x <- as(x, "dgCMatrix") |
|
176 |
+ |
|
172 | 177 |
ls <- list() |
173 | 178 |
ls[[useAssay]] <- x |
174 | 179 |
sce <- SingleCellExperiment::SingleCellExperiment(assays = ls) |
... | ... |
@@ -3,7 +3,7 @@ |
3 | 3 |
\name{celda_C} |
4 | 4 |
\alias{celda_C} |
5 | 5 |
\alias{celda_C,SingleCellExperiment-method} |
6 |
-\alias{celda_C,matrix-method} |
|
6 |
+\alias{celda_C,ANY-method} |
|
7 | 7 |
\title{Cell clustering with Celda} |
8 | 8 |
\usage{ |
9 | 9 |
celda_C( |
... | ... |
@@ -50,7 +50,7 @@ celda_C( |
50 | 50 |
verbose = TRUE |
51 | 51 |
) |
52 | 52 |
|
53 |
-\S4method{celda_C}{matrix}( |
|
53 |
+\S4method{celda_C}{ANY}( |
|
54 | 54 |
x, |
55 | 55 |
useAssay = "counts", |
56 | 56 |
altExpName = "featureSubset", |
... | ... |
@@ -73,11 +73,12 @@ celda_C( |
73 | 73 |
) |
74 | 74 |
} |
75 | 75 |
\arguments{ |
76 |
-\item{x}{A numeric \link{matrix} of counts or a |
|
77 |
-\linkS4class{SingleCellExperiment} |
|
78 |
-with the matrix located in the assay slot under \code{useAssay} in |
|
79 |
-\code{altExp(x, altExpName)}. |
|
80 |
-Rows represent features and columns represent cells.} |
|
76 |
+\item{x}{A \linkS4class{SingleCellExperiment} |
|
77 |
+with the matrix located in the assay slot under \code{useAssay}. |
|
78 |
+Rows represent features and columns represent cells. Alternatively, |
|
79 |
+any matrix-like object that can be coerced to a sparse matrix of class |
|
80 |
+"dgCMatrix" can be directly used as input. The matrix will automatically be |
|
81 |
+converted to a \linkS4class{SingleCellExperiment} object.} |
|
81 | 82 |
|
82 | 83 |
\item{useAssay}{A string specifying the name of the |
83 | 84 |
\link{assay} slot to use. Default "counts".} |
... | ... |
@@ -3,7 +3,7 @@ |
3 | 3 |
\name{celda_CG} |
4 | 4 |
\alias{celda_CG} |
5 | 5 |
\alias{celda_CG,SingleCellExperiment-method} |
6 |
-\alias{celda_CG,matrix-method} |
|
6 |
+\alias{celda_CG,ANY-method} |
|
7 | 7 |
\title{Cell and feature clustering with Celda} |
8 | 8 |
\usage{ |
9 | 9 |
celda_CG( |
... | ... |
@@ -60,7 +60,7 @@ celda_CG( |
60 | 60 |
verbose = TRUE |
61 | 61 |
) |
62 | 62 |
|
63 |
-\S4method{celda_CG}{matrix}( |
|
63 |
+\S4method{celda_CG}{ANY}( |
|
64 | 64 |
x, |
65 | 65 |
useAssay = "counts", |
66 | 66 |
altExpName = "featureSubset", |
... | ... |
@@ -88,11 +88,12 @@ celda_CG( |
88 | 88 |
) |
89 | 89 |
} |
90 | 90 |
\arguments{ |
91 |
-\item{x}{A numeric \link{matrix} of counts or a |
|
92 |
-\linkS4class{SingleCellExperiment} |
|
93 |
-with the matrix located in the \link{assay} |
|
94 |
-slot under \code{useAssay} in \code{altExp(x, altExpName)}. |
|
95 |
-Rows represent features and columns represent cells.} |
|
91 |
+\item{x}{A \linkS4class{SingleCellExperiment} |
|
92 |
+with the matrix located in the assay slot under \code{useAssay}. |
|
93 |
+Rows represent features and columns represent cells. Alternatively, |
|
94 |
+any matrix-like object that can be coerced to a sparse matrix of class |
|
95 |
+"dgCMatrix" can be directly used as input. The matrix will automatically be |
|
96 |
+converted to a \linkS4class{SingleCellExperiment} object.} |
|
96 | 97 |
|
97 | 98 |
\item{useAssay}{A string specifying the name of the |
98 | 99 |
\link{assay} slot to use. Default "counts".} |
... | ... |
@@ -3,7 +3,7 @@ |
3 | 3 |
\name{celda_G} |
4 | 4 |
\alias{celda_G} |
5 | 5 |
\alias{celda_G,SingleCellExperiment-method} |
6 |
-\alias{celda_G,matrix-method} |
|
6 |
+\alias{celda_G,ANY-method} |
|
7 | 7 |
\title{Feature clustering with Celda} |
8 | 8 |
\usage{ |
9 | 9 |
celda_G( |
... | ... |
@@ -48,7 +48,7 @@ celda_G( |
48 | 48 |
verbose = TRUE |
49 | 49 |
) |
50 | 50 |
|
51 |
-\S4method{celda_G}{matrix}( |
|
51 |
+\S4method{celda_G}{ANY}( |
|
52 | 52 |
x, |
53 | 53 |
useAssay = "counts", |
54 | 54 |
altExpName = "featureSubset", |
... | ... |
@@ -70,10 +70,12 @@ celda_G( |
70 | 70 |
) |
71 | 71 |
} |
72 | 72 |
\arguments{ |
73 |
-\item{x}{A numeric \link{matrix} of counts or a |
|
74 |
-\linkS4class{SingleCellExperiment} |
|
73 |
+\item{x}{A \linkS4class{SingleCellExperiment} |
|
75 | 74 |
with the matrix located in the assay slot under \code{useAssay}. |
76 |
-Rows represent features and columns represent cells.} |
|
75 |
+Rows represent features and columns represent cells. Alternatively, |
|
76 |
+any matrix-like object that can be coerced to a sparse matrix of class |
|
77 |
+"dgCMatrix" can be directly used as input. The matrix will automatically be |
|
78 |
+converted to a \linkS4class{SingleCellExperiment} object.} |
|
77 | 79 |
|
78 | 80 |
\item{useAssay}{A string specifying the name of the |
79 | 81 |
\link{assay} slot to use. Default "counts".} |