Integrating phylogenies into single-cell RNA sequencing analysis allows comparisons across species, genes, and cells
Comparisons of single-cell RNA sequencing (scRNA-seq) data across species can reveal
links between cellular gene expression and the evolution of cell functions, features, and …
links between cellular gene expression and the evolution of cell functions, features, and …
[HTML][HTML] A marker gene-based method for identifying the cell-type of origin from single-cell RNA sequencing data
Single-cell RNA sequencing (scRNA-seq) experiments provide opportunities to peer into
complex tissues at single-cell resolution. However, insightful biological interpretation of …
complex tissues at single-cell resolution. However, insightful biological interpretation of …
Single-cell heterogeneity in ribosome content and the consequences for the growth laws
L Brettner, K Geiler-Samerotte - bioRxiv, 2024 - biorxiv.org
Across species and environments, the ribosome content of cell populations correlates with
population growth rate. The robustness and universality of this correlation have led to its …
population growth rate. The robustness and universality of this correlation have led to its …
Evaluating the performance of widely used phylogenetic models for gene expression evolution
Phylogenetic comparative methods are increasingly used to test hypotheses about the
evolutionary processes that drive divergence in gene expression among species. However …
evolutionary processes that drive divergence in gene expression among species. However …
Normalization and gene selection for single-cell RNA-seq UMI data using sampling-adjusted sums of squares of Pearson residuals with a Poisson model
VF Klebanoff - bioRxiv, 2023 - biorxiv.org
SCTransform in Seurat and scanpy. experimental. pp. recipe pearson residuals (scanpy
henceforth) normalize UMI counts as Pearson residuals of negative binomial models …
henceforth) normalize UMI counts as Pearson residuals of negative binomial models …