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

LANAU, A.; Waterfall, J. J.

doi:10.1101/2025.03.20.644345

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bioRxiv · 10.1101/2025.03.20.644345

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

LANAU, A.·Waterfall, J. J.

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Abstract

SummaryWe present pyALRA, an efficient python implementation of the 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 performance prediction using corresponding python methods and allows both speed and RAM consumption improvements. AvailabilitypyALRA is released as an open-source software under the MIT license. The source code is available on GitHub at https://github.com/alexandrelanau/pyALRA.

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LANAU, A., Waterfall, J. J.. 2025-03-25. pyALRA: python implementation of low-rank zero-preserving approximation of single cell RNA-seq. https://doi.org/10.1101/2025.03.20.644345

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