R package supporting the paper "Imputing dropouts for single-cell RNA sequencing based on multi-objective optimization".
This archive contains:
(1) pkg: subdirectory that contains the R package.
(2) scMOO_1.1.pdf: reference manual.
The scMOO
package has the following R-package dependencies: keras
, tensorflow
and rsvd
.
The dependent packages will be automatically installed along with scMOO
. You can use the following commands to install scMOO
from GitHub.
Step 1. If the devtools package has not been installed, install the devtools package first. Invoke R and then type
install.packages("devtools")
library("devtools")
install_github("Zhangxf-ccnu/scMOO", subdir="pkg")
library(scMOO)
data("PBMC_CL")
result <- scMOO(PBMC_CL, percent=0)
For detailed usages, please refer to "scMOO_1.1.pdf".
A tutorial with examples of cell clustering (downstream experiment) illustrating the usage of scMOO
is available at:
scMOO-tutorial.html
Please do not hesitate to contact Miss Ke Jin [email protected] or Dr. Xiao-Fei Zhang [email protected] to seek any clarifications regarding any contents or operation of the archive.