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.
" authors: - family-names: Bouland given-names: Gerard orcid: "https://orcid.org/0000-0002-4311-8725" - family-names: Reinders given-names: Marcel - family-names: Mahfouz given-names: Ahmed orcid: "https://orcid.org/0000-0001-8601-2149" title: "Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets" keywords: version: 1 identifiers: - type: doi value: 10.4121/424eea7a-cce9-4dbb-b6ef-e5b47e132410.v1 license: MIT date-released: 2024-10-15