PyALRA: python implementation of low-rank zero-preserving approximation of single cell RNA-seq.

ABSTRACT:

Motivation

Some recently published methods for single-cell RNA-seq preprocessing and correction are not necessarily available in both Python and R, which limits the accessibility of these tools to the wider community.

Results

We present pyALRA, an efficient python implementation of the (r-)ALRA R package conceived to impute drop out values using a low-rank zero-preserving approximation for single cell RNA-seq. This re-implementation achieves similar prediction performance using corresponding python methods and allows both speed and RAM consumption improvements.

Availability and implementation

pyALRA is released as an open-source software under the MIT license. The source code is available on GitHub at https://github.com/alexandrelanau/pyALRA and on Zenodo at https://d

SUBMITTER: Lanau A 

PROVIDER: S-EPMC12664701 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature