| 일 | 월 | 화 | 수 | 목 | 금 | 토 |
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | ||
| 6 | 7 | 8 | 9 | 10 | 11 | 12 |
| 13 | 14 | 15 | 16 | 17 | 18 | 19 |
| 20 | 21 | 22 | 23 | 24 | 25 | 26 |
| 27 | 28 | 29 | 30 |
Tags
- CUT&RUN
- js
- matplotlib
- single cell rnaseq
- ngs
- scRNAseq analysis
- Bioinformatics
- 싱글셀 분석
- CSS
- python matplotlib
- scRNAseq
- drug muggers
- MACS2
- EdgeR
- julia
- ChIPseq
- Git
- github
- drug development
- Batch effect
- CUTandRUN
- DataFrame
- single cell analysis
- pandas
- 비타민 C
- cellranger
- PYTHON
- HTML
- single cell
- javascript
Archives
- Today
- Total
목록multiplexing (1)
바이오 대표
[scRNAseq 논문] 싱글셀 RNA 시퀀싱 데이터 분석 흐름 “Current best practices in single-cell RNA-seq analysis: a tutorial”
“Current best practices in single-cell RNA-seq analysis: a tutorial” 논문 요약 요약 scRNAseq analysis tools increase → lack of standardization (+ dependency of language) The paper introduces the typical scRNAseq analysis steps as current best-practice recommendations. count matrix pre-processing QC, normalization, data correction, feature selection, dimensionality reduction cell - and gene-level downs..
논문
2023. 2. 20. 08:58