ロード中...
Comparative analysis of differential gene expression analysis tools for single-cell RNA sequencing data
BACKGROUND: The analysis of single-cell RNA sequencing (scRNAseq) data plays an important role in understanding the intrinsic and extrinsic cellular processes in biological and biomedical research. One significant effort in this area is the detection of differentially expressed (DE) genes. scRNAseq...
保存先:
| 出版年: | BMC Bioinformatics |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
BioMed Central
2019
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6339299/ https://ncbi.nlm.nih.gov/pubmed/30658573 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-019-2599-6 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|