TY - DATA
T1 - Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets
PY - 2024/10/15
AU - Gerard Bouland
AU - Marcel Reinders
AU - Ahmed Mahfouz
UR - 
DO - 10.4121/424eea7a-cce9-4dbb-b6ef-e5b47e132410.v1
KW - scRNAseq
KW - binary analysis
KW - single-cell RNA sequencing
N2 - <p>Scripts and data for the paper: Consequences and opportunities arising due to sparser single-cell RNA-seq datasets</p><p><br></p><p>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.</p>
ER -