SifiNet: a robust and accurate method to identify feature gene sets and annotate cells.
Nucleic Acids Res
; 52(9): e46, 2024 May 22.
Article
in En
| MEDLINE
| ID: mdl-38647069
ABSTRACT
SifiNet is a robust and accurate computational pipeline for identifying distinct gene sets, extracting and annotating cellular subpopulations, and elucidating intrinsic relationships among these subpopulations. Uniquely, SifiNet bypasses the cell clustering stage, commonly integrated into other cellular annotation pipelines, thereby circumventing potential inaccuracies in clustering that may compromise subsequent analyses. Consequently, SifiNet has demonstrated superior performance in multiple experimental datasets compared with other state-of-the-art methods. SifiNet can analyze both single-cell RNA and ATAC sequencing data, thereby rendering comprehensive multi-omic cellular profiles. It is conveniently available as an open-source R package.
Full text:
1
Database:
MEDLINE
Main subject:
Software
/
Single-Cell Analysis
Limits:
Humans
Language:
En
Journal:
Nucleic Acids Res
Year:
2024
Type:
Article
Affiliation country:
United States