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Bioinformatics AdvancesBioinformaticsPeer-reviewed journal article

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

Alexandre LanauiD, Joshua J. WaterfalliD

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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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