Cluster plots
Run clustering using a variety of dimensionality reduction algorithms and deep learning models.
- Dashboard
- Upload
- Preprocess
- annotate hb
- annotate mito
- annotate ribo
- batch effect removal
- cell cycle scoring
- downsample data
- filter cells
- filter genes
- filter highest expr genes
- filter highly variable genes
- measure gene counts
- normalize counts
- pca
- recipes
- regress out
- remove genes
- run doubletdetection
- run scrublet
- scale to unit variance
- subsample data
- Integrate
- Create CiteSeq model
- Create Solo model
- Create linear vae
- Cluster plots
- Differential gene expression
- Trajectory inference
- Spatial transcriptomics
- Plotly 3D
- Sidebar