- perform dimensionality reduction with GDR
- integration of scRNA-seq datasets with GDR
- integration of scRNA-seq data and MERFISH/Xenium data with GDR
- normalization of scRNA-seq data with INFOG
- selection of highly-variable genes in scRNAseq data with INFOG
- a novel gene set scoring method
- run clustering on selected cluster(s)
- side-by-side cell embedding plots, e.g., split by Conditions
- stacked violin plots for multiple features, including genes and cell metrics
- preprocessing of scATAC-seq datasets
- integration of scRNA-seq and scATAC-seq datasets (not relying on gene activities)
- inference of cell type-specific gene regulatory networks
- and others
You could simply install PIASO via pip in your conda environment:
pip install piaso-toolsFor the development version in GitHub, you could install via:
pip install git+https://github.com/genecell/PIASO.gitIf PIASO is useful for your research, please consider citing Wu et al., Pyramidal neurons proportionately alter the identity and survival of specific cortical interneuron subtypes, bioRxiv (2024).
Min Dai [email protected]