Kieran R Campbell
Kieran R Campbell
Toronto
Verified email at lunenfeld.ca - Homepage
Title
Cited by
Cited by
Year
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
3262017
Order under uncertainty: robust differential expression analysis using probabilistic models for pseudotime inference
KR Campbell, C Yau
PLoS computational biology 12 (11), 2016
472016
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
212019
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
212017
A descriptive marker gene approach to single-cell pseudotime inference
KR Campbell, C Yau
Bioinformatics 35 (1), 28-35, 2019
20*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
202015
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
16*2019
Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data
KR Campbell, C Yau
Nature communications 9 (1), 2442, 2018
16*2018
Bayesian Gaussian Process Latent Variable Models for pseudotime inference in single-cell RNA-seq data
K Campbell, C Yau
bioRxiv, 026872, 2015
15*2015
switchde: inference of switch-like differential expression along single-cell trajectories
KR Campbell, C Yau
Bioinformatics 33 (8), 1241-1242, 2017
142017
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), 54, 2019
8*2019
Bayesian statistical learning for big data biology
C Yau, K Campbell
Biophysical reviews 11 (1), 95-102, 2019
62019
Laplacian eigenmaps and principal curves for high resolution pseudotemporal ordering of single-cell RNA-seq profiles. bioRxiv
K Campbell, CP Ponting, C Webber
62015
Probabilistic modeling of bifurcations in single-cell gene expression data using a Bayesian mixture of factor analyzers. Wellcome Open Res. 2017; 2–19
KR Campbell, C Yau
52017
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
4*2020
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
22019
Integrated single cell analysis reveals cell cycle and ontogeny related transcriptional heterogeneity in hscs
B Povinelli, Q Wills, N Barkas, C Booth, K Campbell, A Rodriguez-Meira, ...
Experimental Hematology 64, S95-S96, 2018
12018
Abstract GMM-030: MODELS AND ANALYTIC TECHNIQUES OF MULLERIAN TISSUE-DERIVED ORGANOIDS
GC Ho, DR Cochrane, EW Gibbard, K Campbell, B Tessier-Cloutier, ...
Clinical Cancer Research 25 (22 Supplement), GMM-030-GMM-030, 2019
2019
Abstract GMM-020: CELL OF ORIGIN, MUTATION AND MICROENVIRONMENT: MODELING EARLY EVENTS OF ENDOMETRIOSIS ASSOCIATED CANCERS
DR Cochrane, B Tessier-Cloutier, G Ho, K Campbell, E Gibbard, ...
Clinical Cancer Research 25 (22 Supplement), GMM-020-GMM-020, 2019
2019
MODELS AND ANALYTIC TECHNIQUES OF MULLERIAN TISSUE-DERIVED ORGANOIDS
GC Ho, DR Cochrane, EW Gibbard, K Campbell, B Tessier-Cloutier, ...
CLINICAL CANCER RESEARCH 25 (22), 94-94, 2019
2019
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Articles 1–20