ADTGP: correcting single-cell antibody sequencing data using Gaussian process regression.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 39504441.
- Also identified by DOI 10.1093/bioinformatics/btae660 and PMC identifier 11568108.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
We present ADTGP, an R package that uses Gaussian process regression to correct droplet-specific technical noise in single-cell protein sequencing data. ADTGP improves the interpretability of the data by modeling the distribution of protein expression, conditioned on equal isotype control counts across cells. ADTGP is written in R and needs only the protein raw counts, isotype control raw counts, and a design matrix to run. ADTGP can be installed from https://github.com/northNomad/ADTGP. It depends on Stan and the R package 'cmdstanr'.
Medical subject headings
- Single-Cell Analysis
- Software