| Accession |
PRJCA001446 |
| Title |
Normalizing single-cell RNA sequencing data with internal spike-in genes |
| Relevance |
Medical |
| Data types |
Transcriptome or Gene expression
Raw sequence reads
|
| Organisms |
Homo sapiens
|
| Description |
We demonstrate a new normalization method named Isnorm that outperforms most exting methods. The project data is to validate Isnorm hypothesis. |
| Sample scope |
Monoisolate |
| Release date |
2020-08-06 |
| Publication |
| PubMed ID |
Article title |
Journal name |
DOI |
Year |
| 33575610
|
Normalizing single-cell RNA sequencing data with internal spike-in-like genes
|
NAR Genomics and Bioinformatics
|
10.1093/nargab/lqaa059
|
2020
|
|
|
| Data provider |
|
| Biomaterial provider |
Wang H |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| Ministry of Science and Technology of the People's Republic of China (MOST)
|
|
2018YFC1004602
|
|
|
|
| Submitter |
Liye
Zhang (zhangly@shanghaitech.edu.cn)
|
| Organization |
ShanghaiTech University |
| Submission date |
2019-05-23 |
