Paper Info
Title
Unsupervised Cell Functional Annotation for Single-Cell RNA-Seq
Abstract
One of the first steps in the analysis of single cell RNA-Sequencing data (scRNA-Seq) is the assignment of cell types.
Year
DOI
Venue
2022
10.1007/978-3-031-04749-7_24
Research in Computational Molecular Biology
DocType
ISSN
Citations 
Conference
0302-9743
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Li Dongshunyi100.34
Ding Jun200.34
Ziv Bar-Joseph31207112.00