Evan Z Macosko, Anindita Basu, Rahul Satija, James Nemesh, Karthik Shekhar, Melissa Goldman, Itay Tirosh, Allison R Bialas, Nolan Kamitaki, Emily M Martersteck, John J Trombetta, David A Weitz, Joshua R Sanes, Alex K Shalek, Aviv Regev, Steven A McCarroll. Cell 2015
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Times Cited: 2396
Times Cited
Times Co-cited
Similarity
Comprehensive Integration of Single-Cell Data.
Tim Stuart, Andrew Butler, Paul Hoffman, Christoph Hafemeister, Efthymia Papalexi, William M Mauck, Yuhan Hao, Marlon Stoeckius, Peter Smibert, Rahul Satija. Cell 2019
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Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.
Allon M Klein, Linas Mazutis, Ilke Akartuna, Naren Tallapragada, Adrian Veres, Victor Li, Leonid Peshkin, David A Weitz, Marc W Kirschner. Cell 2015
Allon M Klein, Linas Mazutis, Ilke Akartuna, Naren Tallapragada, Adrian Veres, Victor Li, Leonid Peshkin, David A Weitz, Marc W Kirschner. Cell 2015
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Massively parallel digital transcriptional profiling of single cells.
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Integrating single-cell transcriptomic data across different conditions, technologies, and species.
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
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Alexander Dobin, Carrie A Davis, Felix Schlesinger, Jorg Drenkow, Chris Zaleski, Sonali Jha, Philippe Batut, Mark Chaisson, Thomas R Gingeras. Bioinformatics 2013
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
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Comparative Analysis of Single-Cell RNA Sequencing Methods.
Christoph Ziegenhain, Beate Vieth, Swati Parekh, Björn Reinius, Amy Guillaumet-Adkins, Martha Smets, Heinrich Leonhardt, Holger Heyn, Ines Hellmann, Wolfgang Enard. Mol Cell 2017
Christoph Ziegenhain, Beate Vieth, Swati Parekh, Björn Reinius, Amy Guillaumet-Adkins, Martha Smets, Heinrich Leonhardt, Holger Heyn, Ines Hellmann, Wolfgang Enard. Mol Cell 2017
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mRNA-Seq whole-transcriptome analysis of a single cell.
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Spatial reconstruction of single-cell gene expression data.
Rahul Satija, Jeffrey A Farrell, David Gennert, Alexander F Schier, Aviv Regev. Nat Biotechnol 2015
Rahul Satija, Jeffrey A Farrell, David Gennert, Alexander F Schier, Aviv Regev. Nat Biotechnol 2015
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Seq-Well: portable, low-cost RNA sequencing of single cells at high throughput.
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RNA velocity of single cells.
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Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding.
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Smart-seq2 for sensitive full-length transcriptome profiling in single cells.
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Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
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Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.
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The single-cell transcriptional landscape of mammalian organogenesis.
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Reversed graph embedding resolves complex single-cell trajectories.
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SCANPY: large-scale single-cell gene expression data analysis.
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Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics.
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Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression.
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MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data.
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Quantitative single-cell RNA-seq with unique molecular identifiers.
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Saiful Islam, Amit Zeisel, Simon Joost, Gioele La Manno, Pawel Zajac, Maria Kasper, Peter Lönnerberg, Sten Linnarsson. Nat Methods 2014
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edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.
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Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types.
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Massively parallel single-nucleus RNA-seq with DroNc-seq.
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Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.
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Full-length RNA-seq from single cells using Smart-seq2.
Simone Picelli, Omid R Faridani, Asa K Björklund, Gösta Winberg, Sven Sagasser, Rickard Sandberg. Nat Protoc 2014
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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.
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From Louvain to Leiden: guaranteeing well-connected communities.
V A Traag, L Waltman, N J van Eck. Sci Rep 2019
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Current best practices in single-cell RNA-seq analysis: a tutorial.
Malte D Luecken, Fabian J Theis. Mol Syst Biol 2019
Malte D Luecken, Fabian J Theis. Mol Syst Biol 2019
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Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.
Samuel G Rodriques, Robert R Stickels, Aleksandrina Goeva, Carly A Martin, Evan Murray, Charles R Vanderburg, Joshua Welch, Linlin M Chen, Fei Chen, Evan Z Macosko. Science 2019
Samuel G Rodriques, Robert R Stickels, Aleksandrina Goeva, Carly A Martin, Evan Murray, Charles R Vanderburg, Joshua Welch, Linlin M Chen, Fei Chen, Evan Z Macosko. Science 2019
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Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain.
Blue B Lake, Song Chen, Brandon C Sos, Jean Fan, Gwendolyn E Kaeser, Yun C Yung, Thu E Duong, Derek Gao, Jerold Chun, Peter V Kharchenko,[...]. Nat Biotechnol 2018
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Fast, sensitive and accurate integration of single-cell data with Harmony.
Ilya Korsunsky, Nghia Millard, Jean Fan, Kamil Slowikowski, Fan Zhang, Kevin Wei, Yuriy Baglaenko, Michael Brenner, Po-Ru Loh, Soumya Raychaudhuri. Nat Methods 2019
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Comprehensive single-cell transcriptional profiling of a multicellular organism.
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Single-cell chromatin accessibility reveals principles of regulatory variation.
Jason D Buenrostro, Beijing Wu, Ulrike M Litzenburger, Dave Ruff, Michael L Gonzales, Michael P Snyder, Howard Y Chang, William J Greenleaf. Nature 2015
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Scrublet: Computational Identification of Cell Doublets in Single-Cell Transcriptomic Data.
Samuel L Wolock, Romain Lopez, Allon M Klein. Cell Syst 2019
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Joint profiling of chromatin accessibility and gene expression in thousands of single cells.
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Systematic comparison of single-cell and single-nucleus RNA-sequencing methods.
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CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification.
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A comparison of single-cell trajectory inference methods.
Wouter Saelens, Robrecht Cannoodt, Helena Todorov, Yvan Saeys. Nat Biotechnol 2019
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Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex.
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Dimensionality reduction for visualizing single-cell data using UMAP.
Etienne Becht, Leland McInnes, John Healy, Charles-Antoine Dutertre, Immanuel W H Kwok, Lai Guan Ng, Florent Ginhoux, Evan W Newell. Nat Biotechnol 2018
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Single-cell RNA sequencing technologies and bioinformatics pipelines.
Byungjin Hwang, Ji Hyun Lee, Duhee Bang. Exp Mol Med 2018
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Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH.
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Simultaneous epitope and transcriptome measurement in single cells.
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CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq.
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Deep generative modeling for single-cell transcriptomics.
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Eleven grand challenges in single-cell data science.
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.