single-cell

Analysis of multi-condition single-cell data with latent embedding multivariate regression

A new method to analyze multi-condition single-cell data without clustering.

Deep learning-based predictions of gene perturbation effects do not yet outperform simple linear methods

Comparison of foundation models for genetic perturbation prediction against linear models.

Comparison of transformations for single-cell RNA-seq data

Theoretical and empirical analysis of transformation methods for single-cell data.

glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data

Fit Gamma-Poisson Generalized Linear Models Reliably.

sparseMatrixStats

Implementation of the `matrixStats` API for sparse matrices