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Times Cited: 1183
Times Cited: 1183
Times Cited
Times Co-cited
Similarity
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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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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
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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
Andrew Butler, Paul Hoffman, Peter Smibert, Efthymia Papalexi, Rahul Satija. Nat Biotechnol 2018
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Massively parallel digital transcriptional profiling of single cells.
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Dimensionality reduction for visualizing single-cell data using UMAP.
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
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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
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Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.
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Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
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Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.
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Mapping the Mouse Cell Atlas by Microwell-Seq.
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Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
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Fast, sensitive and accurate integration of single-cell data with Harmony.
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Three-dimensional intact-tissue sequencing of single-cell transcriptional states.
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Simultaneous epitope and transcriptome measurement in single cells.
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RNA velocity of single cells.
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High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin.
Kaia Achim, Jean-Baptiste Pettit, Luis R Saraiva, Daria Gavriouchkina, Tomas Larsson, Detlev Arendt, John C Marioni. Nat Biotechnol 2015
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Transcriptome-scale super-resolved imaging in tissues by RNA seqFISH.
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Single-cell messenger RNA sequencing reveals rare intestinal cell types.
Dominic Grün, Anna Lyubimova, Lennart Kester, Kay Wiebrands, Onur Basak, Nobuo Sasaki, Hans Clevers, Alexander van Oudenaarden. Nature 2015
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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
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Reversed graph embedding resolves complex single-cell trajectories.
Xiaojie Qiu, Qi Mao, Ying Tang, Li Wang, Raghav Chawla, Hannah A Pliner, Cole Trapnell. Nat Methods 2017
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Gene expression cartography.
Mor Nitzan, Nikos Karaiskos, Nir Friedman, Nikolaus Rajewsky. Nature 2019
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Kok Hao Chen, Alistair N Boettiger, Jeffrey R Moffitt, Siyuan Wang, Xiaowei Zhuang. Science 2015
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High-definition spatial transcriptomics for in situ tissue profiling.
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G&T-seq: parallel sequencing of single-cell genomes and transcriptomes.
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Single-cell reconstruction of the early maternal-fetal interface in humans.
Roser Vento-Tormo, Mirjana Efremova, Rachel A Botting, Margherita Y Turco, Miquel Vento-Tormo, Kerstin B Meyer, Jong-Eun Park, Emily Stephenson, Krzysztof Polański, Angela Goncalves,[...]. Nature 2018
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Scater: pre-processing, quality control, normalization and visualization of single-cell RNA-seq data in R.
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The Drosophila embryo at single-cell transcriptome resolution.
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Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.
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SCENIC: single-cell regulatory network inference and clustering.
Sara Aibar, Carmen Bravo González-Blas, Thomas Moerman, Vân Anh Huynh-Thu, Hana Imrichova, Gert Hulselmans, Florian Rambow, Jean-Christophe Marine, Pierre Geurts, Jan Aerts,[...]. Nat Methods 2017
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Single-Cell Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity.
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Eleven grand challenges in single-cell data science.
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Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding.
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SpatialDE: identification of spatially variable genes.
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Single-Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Head and Neck Cancer.
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Joint profiling of chromatin accessibility and gene expression in thousands of single cells.
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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.