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, 1-13, 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
Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data
KR Campbell, C Yau
Nature communications 9 (1), 2442, 2018
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, 1-12, 2019
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 595 (7868), 585-590, 2021
Order under uncertainty: robust differential expression analysis using probabilistic models for pseudotime inference
KR Campbell, C Yau
PLoS computational biology 12 (11), e1005212, 2016
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, 799-809, 2020
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
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
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
Automated assignment of cell identity from single-cell multiplexed imaging and proteomic data
MJ Geuenich, J Hou, S Lee, S Ayub, HW Jackson, KR Campbell
Cell Systems 12 (12), 1173-1186. e5, 2021
Cancer phylogenetic tree inference at scale from 1000s of single cell genomes
S Salehi, F Dorri, K Chern, F Kabeer, N Rusk, T Funnell, MJ Williams, ...
Peer Community Journal 3, 2023
Bayesian statistical learning for big data biology
C Yau, K Campbell
Biophysical reviews 11 (1), 95-102, 2019
A noncoding single-nucleotide polymorphism at 8q24 drives IDH1-mutant glioma formation
C Yanchus, KL Drucker, TM Kollmeyer, R Tsai, W Winick-Ng, M Liang, ...
Science 378 (6615), 68-78, 2022
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