Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
Times Cited: 190
Times Cited: 190
Times Cited
Times Co-cited
Similarity
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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SC3: consensus clustering of single-cell RNA-seq data.
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Comprehensive Integration of Single-Cell Data.
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Massively parallel digital transcriptional profiling of single cells.
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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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Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
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Current best practices in single-cell RNA-seq analysis: a tutorial.
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The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.
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CIDR: Ultrafast and accurate clustering through imputation for single-cell RNA-seq data.
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Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq.
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Comparative Analysis of Single-Cell RNA Sequencing Methods.
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Computational and analytical challenges in single-cell transcriptomics.
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Simultaneous epitope and transcriptome measurement in single cells.
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Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning.
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Bayesian approach to single-cell differential expression analysis.
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Dimensionality reduction for visualizing single-cell data using UMAP.
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Splatter: simulation of single-cell RNA sequencing data.
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Deep generative modeling for single-cell transcriptomics.
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Recovering Gene Interactions from Single-Cell Data Using Data Diffusion.
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TSCAN: Pseudo-time reconstruction and evaluation in single-cell RNA-seq analysis.
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Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells.
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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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A comparison of automatic cell identification methods for single-cell RNA sequencing data.
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The technology and biology of single-cell RNA sequencing.
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Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma.
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Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage.
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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.