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1 Introduction
2 Quantification
3 QC
4 Normalization
5 Visualisation
6 DEA
7 Pseudo-time
8 Integration

Sources

Index

scRNASeq

Author

Laurent Modolo

Index
1 Introduction
2 Quantification
3 QC
4 Normalization
5 Visualisation
6 DEA
7 Pseudo-time
8 Integration

Table of contents

R packages to install
Chapters

Categories

All (8)

R packages to install

install.packages("renv")

Download this renv.lock file in your working directory

renv::restore(prompt = F)

Chapters

1. scRNASeq technologies

presentation of single-cell RNA sequencing

2. Quantification of scRNAseq data

Preprocessing of scRNAseq data

3. QC

QC of scRNAseq data with Seurat

4. Normalization

Using sctransform in Seurat

5. Visualization

Data visualization methods for scRNASeq data

6. DEA

Finding differentially expressed features

7. Pseudotime

Building single-cell trajectories

8. Integration

Matching cell across dataset

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