Tamim Abdelaal, Lieke Michielsen, Davy Cats, Dylan Hoogduin, Hailiang Mei, Marcel J T Reinders, Ahmed Mahfouz. Genome Biol 2019
Times Cited: 145
Times Cited: 145
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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scmap: projection of single-cell RNA-seq data across data sets.
Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg. Nat Methods 2018
Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg. Nat Methods 2018
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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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Supervised classification enables rapid annotation of cell atlases.
Hannah A Pliner, Jay Shendure, Cole Trapnell. Nat Methods 2019
Hannah A Pliner, Jay Shendure, Cole Trapnell. Nat Methods 2019
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Massively parallel digital transcriptional profiling of single cells.
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A benchmark of batch-effect correction methods for single-cell RNA sequencing data.
Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh, Jinmiao Chen. Genome Biol 2020
Hoa Thi Nhu Tran, Kok Siong Ang, Marion Chevrier, Xiaomeng Zhang, Nicole Yee Shin Lee, Michelle Goh, Jinmiao Chen. Genome Biol 2020
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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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Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage.
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Deep generative modeling for single-cell transcriptomics.
Romain Lopez, Jeffrey Regier, Michael B Cole, Michael I Jordan, Nir Yosef. Nat Methods 2018
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SCANPY: large-scale single-cell gene expression data analysis.
F Alexander Wolf, Philipp Angerer, Fabian J Theis. Genome Biol 2018
F Alexander Wolf, Philipp Angerer, Fabian J Theis. Genome Biol 2018
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Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors.
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Laleh Haghverdi, Aaron T L Lun, Michael D Morgan, John C Marioni. Nat Biotechnol 2018
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SingleCellNet: A Computational Tool to Classify Single Cell RNA-Seq Data Across Platforms and Across Species.
Yuqi Tan, Patrick Cahan. Cell Syst 2019
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Simultaneous epitope and transcriptome measurement in single cells.
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ACTINN: automated identification of cell types in single cell RNA sequencing.
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CHETAH: a selective, hierarchical cell type identification method for single-cell RNA sequencing.
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scPred: accurate supervised method for cell-type classification from single-cell RNA-seq data.
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Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling.
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A Single-Cell Transcriptome Atlas of the Human Pancreas.
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The Human Cell Atlas.
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Challenges in unsupervised clustering of single-cell RNA-seq data.
Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
Vladimir Yu Kiselev, Tallulah S Andrews, Martin Hemberg. Nat Rev Genet 2019
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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 Multi-omic Integration Compares and Contrasts Features of Brain Cell Identity.
Joshua D Welch, Velina Kozareva, Ashley Ferreira, Charles Vanderburg, Carly Martin, Evan Z Macosko. Cell 2019
Joshua D Welch, Velina Kozareva, Ashley Ferreira, Charles Vanderburg, Carly Martin, Evan Z Macosko. Cell 2019
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SC3: consensus clustering of single-cell RNA-seq data.
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Mapping the Mouse Cell Atlas by Microwell-Seq.
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A comparison of single-cell trajectory inference methods.
Wouter Saelens, Robrecht Cannoodt, Helena Todorov, Yvan Saeys. Nat Biotechnol 2019
Wouter Saelens, Robrecht Cannoodt, Helena Todorov, Yvan Saeys. Nat Biotechnol 2019
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The single-cell transcriptional landscape of mammalian organogenesis.
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Highly Parallel Genome-wide Expression Profiling of Individual Cells Using Nanoliter Droplets.
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Eleven grand challenges in single-cell data science.
David Lähnemann, Johannes Köster, Ewa Szczurek, Davis J McCarthy, Stephanie C Hicks, Mark D Robinson, Catalina A Vallejos, Kieran R Campbell, Niko Beerenwinkel, Ahmed Mahfouz,[...]. Genome Biol 2020
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Construction of a human cell landscape at single-cell level.
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Splatter: simulation of single-cell RNA sequencing data.
Luke Zappia, Belinda Phipson, Alicia Oshlack. Genome Biol 2017
Luke Zappia, Belinda Phipson, Alicia Oshlack. Genome Biol 2017
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Dimensionality reduction for visualizing single-cell data using UMAP.
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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 Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes.
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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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PanglaoDB: a web server for exploration of mouse and human single-cell RNA sequencing data.
Oscar Franzén, Li-Ming Gan, Johan L M Björkegren. Database (Oxford) 2019
Oscar Franzén, Li-Ming Gan, Johan L M Björkegren. Database (Oxford) 2019
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Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq.
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Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells.
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Visualization and analysis of gene expression in tissue sections by spatial transcriptomics.
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RNA velocity of single cells.
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mRNA-Seq whole-transcriptome analysis of a single cell.
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Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution.
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Efficient integration of heterogeneous single-cell transcriptomes using Scanorama.
Brian Hie, Bryan Bryson, Bonnie Berger. Nat Biotechnol 2019
Brian Hie, Bryan Bryson, Bonnie Berger. Nat Biotechnol 2019
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CellMarker: a manually curated resource of cell markers in human and mouse.
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DoubletFinder: Doublet Detection in Single-Cell RNA Sequencing Data Using Artificial Nearest Neighbors.
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scID Uses Discriminant Analysis to Identify Transcriptionally Equivalent Cell Types across Single-Cell RNA-Seq Data with Batch Effect.
Katerina Boufea, Sohan Seth, Nizar N Batada. iScience 2020
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SCINA: A Semi-Supervised Subtyping Algorithm of Single Cells and Bulk Samples.
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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.