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SiFINeT  

Single Cell Feature Identification with Network Topology
View on CRAN: Click here


Download and install SiFINeT package within the R console
Install from CRAN:
install.packages("SiFINeT")

Install from Github:
library("remotes")
install_github("cran/SiFINeT")

Install by package version:
library("remotes")
install_version("SiFINeT", "1.13")



Attach the package and use:
library("SiFINeT")
Maintained by
Qi Gao
[Scholar Profile | Author Map]
First Published: 2025-01-20
Latest Update: 2025-01-20
Description:
Cluster-independent method based on topology structure of gene co-expression network for identifying feature gene sets, extracting cellular subpopulations, and elucidating intrinsic relationships among these subpopulations. Without prior cell clustering, SifiNet circumvents potential inaccuracies in clustering that may influence subsequent analyses. This method is introduced in Qi Gao, Zhicheng Ji, Liuyang Wang, Kouros Owzar, Qi-Jing Li, Cliburn Chan, Jichun Xie "SifiNet: a robust and accurate method to identify feature gene sets and annotate cells" (2024) <doi:10.1093/nar/gkae307>.
How to cite:
Qi Gao (2025). SiFINeT: Single Cell Feature Identification with Network Topology. R package version 1.13, https://cran.r-project.org/web/packages/SiFINeT. Accessed 17 Feb. 2025.
Previous versions and publish date:
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Complete documentation for SiFINeT
Functions, R codes and Examples using the SiFINeT R package
Full SiFINeT package functions and examples
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