CellDrift
latest
  • Introduction
  • Installation
  • Tutorial
  • API
  • Reference
  • Related Research
  • Contact
CellDrift
  • »
  • Related Research
  • Edit on GitHub

Related ResearchΒΆ

Machine learning for perturbational single-cell omics.
scGen predicts single-cell perturbation responses.
Cell type prioritization in single-cell data.
Generative modeling of single-cell time series with PRESCIENT enables prediction of cell trajectories with interventions.
muscat detects subpopulation-specific state transitions from multi-sample multi-condition single-cell transcriptomics data.
scCODA: A Bayesian model for compositional single-cell data analysis.
Milo: differential abundance testing on single-cell data using k-NN graphs.
Previous Next

© Copyright 2022, Kang Jin. Revision 337f1161.

Built with Sphinx using a theme provided by Read the Docs.