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

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://doi.org/10.5281/zenodo.15730914.

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Publication Details

Journal
Bioinformatics Advances
Published
2024-12-26
DOI
https://doi.org/10.1093/bioadv/vbaf279
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Joshua J. Waterfall, Alexandre Lanau
Bioinformatics Advances
Single-cell and spatial transcriptomics
article

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

Joshua J. Waterfall, Alexandre Lanau
article en

Abstract

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://doi.org/10.5281/zenodo.15730914.

Bioinformatics AdvancesVol. 5(1)
Inserm (FR), Université Paris Sciences et Lettres (FR), Institut Curie (FR)
Institut National de la Santé et de la Recherche Médicale, Fondation ARC pour la Recherche sur le Cancer
Openalex Percentile: Top 77%
Single-cell and spatial transcriptomics
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