| 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 | 1627 | 2017 |
| Eleven grand challenges in single-cell data science D Lähnemann, J Köster, E Szczurek, DJ McCarthy, SC Hicks, ... Genome biology 21, 1-35, 2020 | 1171 | 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 | 326 | 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 | 244 | 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 | 172 | 2019 |
| Uncovering pseudotemporal trajectories with covariates from single cell and bulk expression data KR Campbell, C Yau Nature communications 9 (1), 2442, 2018 | 133 | 2018 |
| 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 | 120 | 2021 |
| 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 | 109 | 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, 799-809, 2020 | 88 | 2020 |
| Order under uncertainty: robust differential expression analysis using probabilistic models for pseudotime inference KR Campbell, C Yau PLoS computational biology 12 (11), e1005212, 2016 | 73 | 2016 |
| A descriptive marker gene approach to single-cell pseudotime inference KR Campbell, C Yau Bioinformatics 35 (1), 28-35, 2019 | 59* | 2019 |
| 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 | 53 | 2021 |
| 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 | 50 | 2020 |
| 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 | 49 | 2022 |
| 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 | 47 | 2015 |
| 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 | 39* | 2023 |
| Bayesian Gaussian Process Latent Variable Models for pseudotime inference in single-cell RNA-seq data K Campbell, C Yau bioRxiv, 026872, 2015 | 36* | 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 | 32 | 2017 |
| switchde: inference of switch-like differential expression along single-cell trajectories KR Campbell, C Yau Bioinformatics 33 (8), 1241-1242, 2017 | 30 | 2017 |
| Bayesian statistical learning for big data biology C Yau, K Campbell Biophysical reviews 11 (1), 95-102, 2019 | 25 | 2019 |
Sohrab ShahMemorial Sloan Kettering Cancer CenterΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα mskcc.org
