Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets
DOI: 10.4121/424eea7a-cce9-4dbb-b6ef-e5b47e132410
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Licence MIT
Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets
With the number of cells measured in single-cell RNA sequencing (scRNA-seq) datasets increasing exponentially and concurrent increased sparsity due to more zero counts being measured for many genes, we demonstrate here that downstream analyses on binary-based gene expression give similar results as count-based analyses. Moreover, a binary representation scales up to ~ 50-fold more cells that can be analyzed using the same computational resources. We also highlight the possibilities provided by binarized scRNA-seq data. Development of specialized tools for bit-aware implementations of downstream analytical tasks will enable a more fine-grained resolution of biological heterogeneity.
History
- 2024-10-15 first online, published, posted
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4TU.ResearchDataFormat
R/.rds R/.R spreadsheet/.csvAssociated peer-reviewed publication
Consequences and opportunities arising due to sparser single-cell RNA-seq datasetsReferences
Organizations
TU Delft, Faculty of Electrical Engineering, Mathematics, and Computer Science, The Delft Bioinformatics LabLeiden University Medical Center, Department of Human Genetics