A semi-automatic cell type annotation method for single-cell RNA sequencing dataset
Single-cell RNA sequencing (scRNA-seq) has been widely applied to provide insights into the cell-by-cell expression difference in a given bulk sample. Accordingly, numerous analysis methods have been developed. As it involves simultaneous analyses of many cell and genes, efficiency of the methods is...
Saved in:
Main Authors: | Wan Kim, Sung Min Yoon, Sangsoo Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
BioMed Central
2020-09-01
|
Series: | Genomics & Informatics |
Subjects: | |
Online Access: | http://genominfo.org/upload/pdf/gi-2020-18-3-e26.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Benchmarking cell type annotation methods for 10x Xenium spatial transcriptomics data
by: Jinming Cheng, et al.
Published: (2025-01-01) -
Consensus representation of multiple cell–cell graphs from gene signaling pathways for cell type annotation
by: Yu-An Huang, et al.
Published: (2025-01-01) -
The landscape of cell regulatory and communication networks in the human dental follicle
by: Jia-Ning Liu, et al.
Published: (2025-02-01) -
The anti-cancerous mechanism of licochalcone A on human hepatoma cell HepG2 based on the miRNA omics
by: Jun Wang, et al.
Published: (2023-07-01) -
Single-cell RNA sequencing revealed PPARG promoted osteosarcoma progression: based on osteoclast proliferation
by: Lei Sun, et al.
Published: (2025-01-01)