Name
Title | ||
|---|---|---|
Visualization and Analysis of Single Cell RNA-Seq Data by Maximizing Correntropy Based Non-Negative Low Rank Representation |
Abstract | ||
|---|---|---|
The exploration of single cell RNA-sequencing (scRNA-seq) technology generates a new perspective to analyze biological problems. One of the major applications of scRNA-seq data is to discover subtypes of cells by cell clustering. Nevertheless, it is challengeable for traditional methods to handle scRNA-seq data with high level of technical noise and notorious dropouts. To better analyze single cel... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JBHI.2021.3110766 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Data models,Data visualization,Bioinformatics,Pollution measurement,Dimensionality reduction,Computer science,Clustering algorithms | Journal | 26 |
Issue | ISSN | Citations |
4 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cui-Na Jiao | 1 | 2 | 2.38 |
| Liu Jin-Xing | 2 | 40 | 16.11 |
| Juan Wang | 3 | 0 | 2.70 |
| Junliang Shang | 4 | 42 | 14.78 |
| Chun-hou Zheng | 5 | 732 | 71.79 |