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Bioinformatics (Oxford, England)|December 25, 2016
switchde: inference of switch-like differential expression along single-cell trajectoriesKieran R Campbell, Christopher YauBioinformatics (Oxford, England)|June 26, 2018
A descriptive marker gene approach to single-cell pseudotime inferenceKieran R Campbell, Christopher YauPlos Computational Biology|November 22, 2016
Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime InferenceKieran R Campbell, Christopher YauWellcome Open Research|May 16, 2017
Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzersKieran R Campbell, Christopher YauNature Communications|June 24, 2018
Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression dataKieran R Campbell, Christopher YauCancer Research|May 16, 2025
Cells keep diverse company in diseased tissuesKieran R Campbell, Aleksandrina GoevaPhysical Biology|August 8, 2020
Computational modelling in single-cell cancer genomics: methods and future directionsAllen W Zhang, Kieran R CampbellGenome Biology|June 17, 2024
Beyond benchmarking and towards predictive models of dataset-specific single-cell RNA-seq pipeline performanceCindy Fang, Alina Selega, Kieran R CampbellBioinformatics (Oxford, England)|August 9, 2013
OncoSNP-SEQ: a statistical approach for the identification of somatic copy number alterations from next-generation sequencing of cancer genomesChristopher YauPageof 12