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| Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells F Buettner, KN Natarajan, FP Casale, V Proserpio, A Scialdone, FJ Theis, ... Nature biotechnology 33 (2), 155-160, 2015 | 1013 | 2015 |
| A step-by-step workflow for low-level analysis of single-cell RNA-seq data with Bioconductor ATL Lun, DJ McCarthy, JC Marioni F1000Research 5, 2016 | 934 | 2016 |
| The technology and biology of single-cell RNA sequencing AA Kolodziejczyk, JK Kim, V Svensson, JC Marioni, SA Teichmann Molecular cell 58 (4), 610-620, 2015 | 899 | 2015 |
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| A Bayesian deconvolution strategy for immunoprecipitation-based DNA methylome analysis TA Down, VK Rakyan, DJ Turner, P Flicek, H Li, E Kulesha, S Graef, ... Nature biotechnology 26 (7), 779-785, 2008 | 734 | 2008 |
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| Resolving the fibrotic niche of human liver cirrhosis at single-cell level P Ramachandran, R Dobie, JR Wilson-Kanamori, EF Dora, ... Nature 575 (7783), 512-518, 2019 | 557 | 2019 |
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| Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets R Argelaguet, B Velten, D Arnol, S Dietrich, T Zenz, JC Marioni, F Buettner, ... Molecular systems biology 14 (6), e8124, 2018 | 443 | 2018 |
| Single cell RNA-sequencing of pluripotent states unlocks modular transcriptional variation AA Kolodziejczyk, JK Kim, JCH Tsang, T Ilicic, J Henriksson, ... Cell stem cell 17 (4), 471-485, 2015 | 430 | 2015 |
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