Kieran R Campbell
Kieran R Campbell
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Cited by
Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R
DJ McCarthy, KR Campbell, ATL Lun, QF Wills
Bioinformatics 33 (8), 1179-1186, 2017
Eleven grand challenges in single-cell data science
D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ...
Genome biology 21 (1), 1-35, 2020
Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling
AW Zhang, C O’Flanagan, EA Chavez, JLP Lim, N Ceglia, A McPherson, ...
Nature methods 16 (10), 1007-1015, 2019
Dissociation of solid tumor tissues with cold active protease for single-cell RNA-seq minimizes conserved collagenase-associated stress responses
CH O’Flanagan, KR Campbell, AW Zhang, F Kabeer, JLP Lim, J Biele, ...
Genome biology 20 (1), 1-13, 2019
Single-cell sequencing of iPSC-dopamine neurons reconstructs disease progression and identifies HDAC4 as a regulator of parkinson cell phenotypes
C Lang*, KR Campbell*, BJ Ryan, P Carling, M Attar, J Vowles, ...
Cell stem cell 24 (1), 93-106. e6, 2019
Order under uncertainty: robust differential expression analysis using probabilistic models for pseudotime inference
KR Campbell, C Yau
PLoS computational biology 12 (11), e1005212, 2016
clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers
KR Campbell, A Steif, E Laks, H Zahn, D Lai, A McPherson, H Farahani, ...
Genome biology 20 (1), 1-12, 2019
Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data
KR Campbell, C Yau
Nature communications 9 (1), 1-12, 2018
A descriptive marker gene approach to single-cell pseudotime inference
KR Campbell, C Yau
Bioinformatics 35 (1), 28-35, 2019
Laplacian eigenmaps and principal curves for high resolution pseudotemporal ordering of single-cell RNA-seq profiles
K Campbell, CP Ponting, C Webber
bioRxiv, 027219, 2015
Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzers
KR Campbell, C Yau
Wellcome open research 2, 2017
switchde: inference of switch-like differential expression along single-cell trajectories
KR Campbell, C Yau
Bioinformatics 33 (8), 1241-1242, 2017
Bayesian Gaussian Process Latent Variable Models for pseudotime inference in single-cell RNA-seq data
K Campbell, C Yau
bioRxiv, 026872, 2015
Bayesian statistical learning for big data biology
C Yau, K Campbell
Biophysical reviews 11 (1), 95-102, 2019
What went wrong and when? Instance-wise feature importance for time-series black-box models
S Tonekaboni, S Joshi, K Campbell, DK Duvenaud, A Goldenberg
Advances in Neural Information Processing Systems 33, 2020
Single cell transcriptomes of normal endometrial derived organoids uncover novel cell type markers and cryptic differentiation of primary tumours
DR Cochrane, KR Campbell, K Greening, GC Ho, J Hopkins, M Bui, ...
The Journal of Pathology 252 (2), 201-214, 2020
Clonal fitness inferred from time-series modelling of single-cell cancer genomes
S Salehi, F Kabeer, N Ceglia, M Andronescu, MJ Williams, KR Campbell, ...
Nature, 1-6, 2021
Computational modelling in single-cell cancer genomics: methods and future directions
AW Zhang, KR Campbell
Physical Biology 17 (6), 061001, 2020
Decomposing feature-level variation with covariate Gaussian process latent variable models
K Märtens, K Campbell, C Yau
International Conference on Machine Learning, 4372-4381, 2019
Efficient Bayesian inference of phylogenetic trees from large scale, low-depth genome-wide single-cell data
F Dorri, S Salehi, K Chern, T Funnell, M Williams, D Lai, M Andronescu, ...
bioRxiv, 2020
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