Preprint now available at https://www.biorxiv.org/content/10.1101/2023.12.18.572232v1
NOTE: this repo will soon move to the account of the Edinburgh Biomedical AI Lab
The Stator pipeline takes in single cell RNA-seq count matrices, and estimates gene-gene interactions at up to seventh order. Up to fifth-order interactions are then used to find characteristic, multi-type states present in the cell population.
In our research, Stator found cell identities that were invisible to clustering and NMF methods. Stator found sub-phases of the cell cycle, future neuronal fate states, and liver cancer states predictive of patient survival.
The pipeline can be run directly from the command line, both locally or on an HPC cluster. It pulls all code from Github, and the required containers from Dockerhub.
Subsequent analysis can be done with our bespoke Stator Shiny app, available at https://shiny.igc.ed.ac.uk/MFIs/
Documentation on installation and usage are available here.
A small tutorial/vignette is available here.
- Switched to Nextflow DSL2 and the latest compatible Nextflow version (23.04)
- Changed file handling inside Stator.nf to fix read permission bug on some clusters
- Renamed multiple scripts, files, and directories
- Updated and tested Docker profile for local runs
- Removed 1-point calculation
- Simplified Nextflow config files
- Removed conda yamls
- Switched back to numpy (was numba in V1.0) for interaction estimation (might be reverted in the future, depending on performance)
- switch to using CIs for significance estimation, abandon F-value.
- update vignette
- improve documentation and tutorial
- Create more unit tests for state inference
- add option to also use pairwise interactions for state inference
- if pairwise not used, optionally skip their computation.