Kieran Campbell

Probabilistic inference of bifurcations in single-cell data using a hierarchical mixture of factor analysers

This paper introduces a probabilistic model for inferring bifurcations in single-cell transcriptomics data and demonstrates its performance on large datasets.

Order under uncertainty: robust differential expression analysis using probabilistic models for pseudotime inference

This paper introduces probabilistic models to quantify uncertainty in pseudotime inference and shows they improve robustness in differential expression analysis compared to point estimates.

Laplacian eigenmaps and principal curves for high resolution pseudotemporal ordering of single-cell RNA-seq profiles

This paper introduces a method combining laplacian eigenmaps and principal curves to improve pseudotemporal ordering of single-cell RNA-seq data by addressing noise robustness.

Bayesian Gaussian Process Latent Variable Models for pseudotime inference in single-cell RNA-seq data

This paper introduces a Bayesian method using Gaussian Process Latent Variable Models to infer pseudotime in single-cell RNA-seq data, providing uncertainty estimates for pseudotimes.