Research
A covariance-aware variational generative model preserving gene correlation structure in single-cell transcriptomic data
Nature ·
The Brief
- A covariance-aware variational generative model for single-cell transcriptomic data is reported in a nature.com biological sciences feed.
- The model is described as preserving gene correlation structure in the data.
- The source gives no summary, so the methods and results are not detailed here.
Why it matters
Single-cell transcriptomics studies involve many genes whose expression is correlated, so a generative model that keeps these correlations may be relevant to researchers who model or simulate such data.
Who’s affected
- researchers working with single-cell transcriptomic data
- #single-cell
- #transcriptomics
- #generative models
- #gene correlation
- #variational inference
Timeline
Listed in nature.com biological sciences subject feed
Biological sciences : nature.com subject feeds
A covariance-aware variational generative model preserving gene correlation structure in single-cell transcriptomic data