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Times Cited: 3011
Times Cited: 3011
Times Cited
Times Co-cited
Similarity
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
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Massively parallel digital transcriptional profiling of single cells.
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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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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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Simultaneous epitope and transcriptome measurement in single cells.
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Full-length RNA-seq from single cells using Smart-seq2.
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Spatial reconstruction of single-cell gene expression data.
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mRNA-Seq whole-transcriptome analysis of a single cell.
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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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Current best practices in single-cell RNA-seq analysis: a tutorial.
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STAR: ultrafast universal RNA-seq aligner.
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Reversed graph embedding resolves complex single-cell trajectories.
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Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.
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The single-cell transcriptional landscape of mammalian organogenesis.
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
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SCANPY: large-scale single-cell gene expression data analysis.
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Smart-seq2 for sensitive full-length transcriptome profiling in single cells.
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Simone Picelli, Åsa K Björklund, Omid R Faridani, Sven Sagasser, Gösta Winberg, Rickard Sandberg. Nat Methods 2013
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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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Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.
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Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage.
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8
Single-cell RNA-seq denoising using a deep count autoencoder.
Gökcen Eraslan, Lukas M Simon, Maria Mircea, Nikola S Mueller, Fabian J Theis. Nat Commun 2019
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8
Deep generative modeling for single-cell transcriptomics.
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Normalization and variance stabilization of single-cell RNA-seq data using regularized negative binomial regression.
Christoph Hafemeister, Rahul Satija. Genome Biol 2019
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Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics.
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Mapping the Mouse Cell Atlas by Microwell-Seq.
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Integrated analysis of multimodal single-cell data.
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Quantitative single-cell RNA-seq with unique molecular identifiers.
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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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Comprehensive single-cell transcriptional profiling of a multicellular organism.
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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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Multiplexed quantification of proteins and transcripts in single cells.
Vanessa M Peterson, Kelvin Xi Zhang, Namit Kumar, Jerelyn Wong, Lixia Li, Douglas C Wilson, Renee Moore, Terrill K McClanahan, Svetlana Sadekova, Joel A Klappenbach. Nat Biotechnol 2017
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High-definition spatial transcriptomics for in situ tissue profiling.
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Fast, sensitive and accurate integration of single-cell data with Harmony.
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Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
Laleh Haghverdi, Aaron T L Lun, Michael D Morgan, John C Marioni. Nat Biotechnol 2018
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A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure.
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Single-Cell RNA-Seq Technologies and Related Computational Data Analysis.
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The Human Cell Atlas.
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.
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Single-cell chromatin accessibility reveals principles of regulatory variation.
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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.
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Volker Bergen, Marius Lange, Stefan Peidli, F Alexander Wolf, Fabian J Theis. Nat Biotechnol 2020
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Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.
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6
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.