Florian Buettner

Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells

Diffusion pseudotime robustly reconstructs lineage branching

The temporal order of differentiating cells is intrinsically encoded in their single-cell expression profiles. We describe an efficient way to robustly estimate this order accor...

Diffusion maps for high-dimensional single-cell analysis of differentiation data

Abstract Motivation: Single-cell technologies have recently gained popularity in cellular differentiation studies regarding their ability to resolve potential heterogeneities in...

<i>destiny</i> : diffusion maps for large-scale single-cell data in R

Abstract Summary: Diffusion maps are a spectral method for non-linear dimension reduction and have recently been adapted for the visualization of single-cell expression data. He...